-
1
-
-
33744981623
-
Image processing with imageJ
-
Abràmoff, M. D., Magalhães, P. J., & Ram, S. J. (2004). Image processing with imageJ. Biophotonics International, 11, 36–41. https://doi.org/10.1117/1.3589100
-
(2004)
Biophotonics International
, vol.11
, pp. 36-41
-
-
Abràmoff, M.D.1
Magalhães, P.J.2
Ram, S.J.3
-
2
-
-
77954560622
-
Automating image matching, cataloging, and analysis for photo-identification research
-
Adams, J. D., Speakman, T., Zolman, E., & Schwacke, L. H. (2006). Automating image matching, cataloging, and analysis for photo-identification research. Aquatic Mammals, 32, 374–384. https://doi.org/10.1578/AM.32.3.2006.374
-
(2006)
Aquatic Mammals
, vol.32
, pp. 374-384
-
-
Adams, J.D.1
Speakman, T.2
Zolman, E.3
Schwacke, L.H.4
-
3
-
-
38949156211
-
Identifying elephant photos by multi-curve matching
-
Ardovini, A., Cinque, L., & Sangineto, E. (2008). Identifying elephant photos by multi-curve matching. Pattern Recognition, 41, 1867–1877. https://doi.org/10.1016/j.patcog.2007.11.010
-
(2008)
Pattern Recognition
, vol.41
, pp. 1867-1877
-
-
Ardovini, A.1
Cinque, L.2
Sangineto, E.3
-
4
-
-
31344449844
-
An astronomical pattern-matching algorithm for computer-aided identification of whale sharks Rhincodon typus
-
Arzoumanian, Z., Holmberg, J., & Norman, B. (2005). An astronomical pattern-matching algorithm for computer-aided identification of whale sharks Rhincodon typus. Journal of Applied Ecology, 42, 999–1011. https://doi.org/10.1111/j.1365-2664.2005.01117.x
-
(2005)
Journal of Applied Ecology
, vol.42
, pp. 999-1011
-
-
Arzoumanian, Z.1
Holmberg, J.2
Norman, B.3
-
5
-
-
84941795876
-
Automatic classification of flying bird species using computer vision techniques
-
Atanbori, J., Duan, W., Murray, J., Appiah, K., & Dickinson, P. (2016). Automatic classification of flying bird species using computer vision techniques. Pattern Recognition Letters, 81, 53–62. https://doi.org/10.1016/j.patrec.2015.08.015
-
(2016)
Pattern Recognition Letters
, vol.81
, pp. 53-62
-
-
Atanbori, J.1
Duan, W.2
Murray, J.3
Appiah, K.4
Dickinson, P.5
-
6
-
-
34948910166
-
Estimating the relative abundance of emperor penguins at inaccessible colonies using satellite imagery
-
Barber-Meyer, S. M., Kooyman, G. L., & Ponganis, P. J. (2007). Estimating the relative abundance of emperor penguins at inaccessible colonies using satellite imagery. Polar Biology, 30, 1565–1570. https://doi.org/10.1007/s00300-007-0317-8
-
(2007)
Polar Biology
, vol.30
, pp. 1565-1570
-
-
Barber-Meyer, S.M.1
Kooyman, G.L.2
Ponganis, P.J.3
-
7
-
-
84978699318
-
Quick, accurate, smart: 3D computer vision technology helps assessing confined animals’ behaviour
-
Barnard, S., Calderara, S., Pistocchi, S., Cucchiara, R., Podaliri-Vulpiani, M., Messori, S., & Ferri, N. (2016). Quick, accurate, smart: 3D computer vision technology helps assessing confined animals’ behaviour. PLoS ONE, 11, 1–20. https://doi.org/10.1371/journal.pone.0158748
-
(2016)
PLoS ONE
, vol.11
, pp. 1-20
-
-
Barnard, S.1
Calderara, S.2
Pistocchi, S.3
Cucchiara, R.4
Podaliri-Vulpiani, M.5
Messori, S.6
Ferri, N.7
-
8
-
-
85006295319
-
A common framework for identifying rules across different types of interactions
-
Bartomeus, I., Gravel, D., Tylianakis, J. M., Aizen, M., Dickie, I., & Bernard-Verdier, M. (2016). A common framework for identifying rules across different types of interactions. Functional Ecology, 10, 1–40. https://doi.org/10.1111/1365-2435.12666
-
(2016)
Functional Ecology
, vol.10
, pp. 1-40
-
-
Bartomeus, I.1
Gravel, D.2
Tylianakis, J.M.3
Aizen, M.4
Dickie, I.5
Bernard-Verdier, M.6
-
9
-
-
38949209605
-
Comparison of two computer-assisted photo-identification methods applied to sperm whales (Physeter macrocephalus)
-
Beekmans, B. W. P. M., Whitehead, H., Huele, R., Steiner, L., & Steenbeek, A. G. (2005). Comparison of two computer-assisted photo-identification methods applied to sperm whales (Physeter macrocephalus). Aquatic Mammals, 31, 243–247. https://doi.org/10.1578/AM.31.2.2005.243
-
(2005)
Aquatic Mammals
, vol.31
, pp. 243-247
-
-
Beekmans, B.W.P.M.1
Whitehead, H.2
Huele, R.3
Steiner, L.4
Steenbeek, A.G.5
-
10
-
-
84962476685
-
Improving automated annotation of benthic survey images using wide-band fluorescence
-
Beijboom, O., Treibitz, T., Kline, D. I., Eyal, G., Khen, A., Neal, B., … Kriegman, D. (2016). Improving automated annotation of benthic survey images using wide-band fluorescence. Scientific Reports, 6, 23166. https://doi.org/10.1038/srep23166
-
(2016)
Scientific Reports
, vol.6
, pp. 23166
-
-
Beijboom, O.1
Treibitz, T.2
Kline, D.I.3
Eyal, G.4
Khen, A.5
Neal, B.6
Kriegman, D.7
-
11
-
-
84961635328
-
Visipedia circa 2015
-
Belongie, S., & Perona, P. (2016). Visipedia circa 2015. Pattern Recognition Letters, 72, 15–24. https://doi.org/10.1016/j.patrec.2015.11.023
-
(2016)
Pattern Recognition Letters
, vol.72
, pp. 15-24
-
-
Belongie, S.1
Perona, P.2
-
12
-
-
84911399752
-
Birdsnap: Large-scale fine-grained visual categorization of birds
-
Berg, T., Liu, J., Lee, S. W., Alexander, M. L., Jacobs, D. W., & Belhumeur, P. N. (2014). Birdsnap: Large-scale fine-grained visual categorization of birds. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 2019–2026.
-
(2014)
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
, pp. 2019-2026
-
-
Berg, T.1
Liu, J.2
Lee, S.W.3
Alexander, M.L.4
Jacobs, D.W.5
Belhumeur, P.N.6
-
13
-
-
77954864888
-
It's all about the data
-
Berg, T. L., Sorokin, A., Forsyth, D. A., Hoiem, D., Endres, I., & Farhadi, A. (2010). It's all about the data. Proceedings of the IEEE, 98, 1434–1452. https://doi.org/10.1109/JPROC.2009.2032355
-
(2010)
Proceedings of the IEEE
, vol.98
, pp. 1434-1452
-
-
Berg, T.L.1
Sorokin, A.2
Forsyth, D.A.3
Hoiem, D.4
Endres, I.5
Farhadi, A.6
-
14
-
-
84942414360
-
Fish species recognition from video using SVM classifier
-
#x0026;, New York, NY, ACM Press
-
Blanc, K., Lingrand, D., & Precioso, F. (2014). Fish species recognition from video using SVM classifier. Proceedings of the 3rd ACM International Workshop on Multimedia Analysis for Ecological Data – MAED ‘14, pp. 1–6. New York, NY: ACM Press. https://doi.org/10.1145/2661821
-
(2014)
Proceedings of the 3rd ACM International Workshop on Multimedia Analysis for Ecological Data – MAED ‘14
, pp. 1-6
-
-
Blanc, K.1
Lingrand, D.2
Precioso, F.3
-
15
-
-
84872498657
-
A computer-assisted system for photographic mark-recapture analysis
-
Bolger, D. T., Morrison, T. A., Vance, B., Lee, D., & Farid, H. (2012). A computer-assisted system for photographic mark-recapture analysis. Methods in Ecology and Evolution, 3, 813–822. https://doi.org/10.1111/j.2041-210X.2012.00212.x
-
(2012)
Methods in Ecology and Evolution
, vol.3
, pp. 813-822
-
-
Bolger, D.T.1
Morrison, T.A.2
Vance, B.3
Lee, D.4
Farid, H.5
-
16
-
-
85016738528
-
Detecting wildlife in uncontrolled outdoor video using convolutional neural networks
-
Bowley, C., Andes, A., Ellis-Felege, S., & Desell, T. (2017). Detecting wildlife in uncontrolled outdoor video using convolutional neural networks. Proceedings of the 2016 IEEE 12th International Conference on e-Science, e-Science 2016, pp. 251–259.
-
(2017)
Proceedings of the 2016 IEEE 12th International Conference on e-Science, e-Science 2016
, pp. 251-259
-
-
Bowley, C.1
Andes, A.2
Ellis-Felege, S.3
Desell, T.4
-
17
-
-
0242483561
-
The OpenCV Library
-
Bradski, G. (2000). The OpenCV Library. Dr Dobbs Journal, 25, 120–126.
-
(2000)
Dr Dobbs Journal
, vol.25
, pp. 120-126
-
-
Bradski, G.1
-
18
-
-
84919741208
-
-
#x0026;, British Machine Vision Conference (BMVC).
-
Branson, S., Van Horn, G., Belongie, S., & Perona, P. (2014). Bird species categorization using pose normalized deep convolutional nets. British Machine Vision Conference (BMVC). http://www.bmva.org/bmvc/2014/files/paper071.pdf
-
(2014)
Bird species categorization using pose normalized deep convolutional nets
-
-
Branson, S.1
Van Horn, G.2
Belongie, S.3
Perona, P.4
-
19
-
-
78149300909
-
-
#x0026;,). Visual recognition with humans in the loop. In, Daniilidis K., Maragos P., Paragios N., (eds), Computer Vision - ECCV 2010. ECCV 2010, Lecture Notes in Computer Science, vol 6314., Berlin, Germany, Springer
-
Branson, S., Wah, C., Schroff, F., Babenko, B., Welinder, P., Perona, P., & Belongie, S. (2010). Visual recognition with humans in the loop. In Daniilidis K., Maragos P., Paragios N. (eds) Computer Vision - ECCV 2010. ECCV 2010. Lecture Notes in Computer Science, vol 6314. Berlin, Germany: Springer.
-
(2010)
-
-
Branson, S.1
Wah, C.2
Schroff, F.3
Babenko, B.4
Welinder, P.5
Perona, P.6
Belongie, S.7
-
20
-
-
84990188988
-
Computer-automated bird detection and counts in high-resolution aerial images: A review
-
Chabot, D., & Francis, C. M. (2016). Computer-automated bird detection and counts in high-resolution aerial images: A review. Journal of Field Ornithology, 87, 343–359. https://doi.org/10.1111/jofo.12171
-
(2016)
Journal of Field Ornithology
, vol.87
, pp. 343-359
-
-
Chabot, D.1
Francis, C.M.2
-
21
-
-
84949927428
-
Deep convolutional neural network based species recognition for wild animal monitoring
-
Chen, G., Han, T. X., He, Z., Kays, R., & Forrester, T. (2014). Deep convolutional neural network based species recognition for wild animal monitoring. IEEE International Conference on Image Processing (ICIP), 2014, 858–862.
-
(2014)
IEEE International Conference on Image Processing (ICIP)
, vol.2014
, pp. 858-862
-
-
Chen, G.1
Han, T.X.2
He, Z.3
Kays, R.4
Forrester, T.5
-
22
-
-
84995549583
-
DeepAnomaly: Combining background subtraction and deep learning for detecting obstacles and anomalies in an agricultural field
-
Christiansen, P., Nielsen, L., Steen, K., Jørgensen, R., & Karstoft, H. (2016). DeepAnomaly: Combining background subtraction and deep learning for detecting obstacles and anomalies in an agricultural field. Sensors, 16, 1904. https://doi.org/10.3390/s16111904
-
(2016)
Sensors
, vol.16
, pp. 1904
-
-
Christiansen, P.1
Nielsen, L.2
Steen, K.3
Jørgensen, R.4
Karstoft, H.5
-
23
-
-
84875585028
-
Hotspotter – Patterned species instance recognition
-
Crall, J., Stewart, C., Berger-Wolf, T. Y., Rubenstein, D. L., & Sundaresan, S. R. (2013). Hotspotter – Patterned species instance recognition. Applications of Computer Vision (WACV), 2013 IEEE Workshop, pp. 230–237.
-
(2013)
Applications of Computer Vision (WACV), 2013 IEEE Workshop
, pp. 230-237
-
-
Crall, J.1
Stewart, C.2
Berger-Wolf, T.Y.3
Rubenstein, D.L.4
Sundaresan, S.R.5
-
24
-
-
84920995476
-
Pattern-recognition software as a supplemental method of identifying individual eastern box turtles (Terrapene c. carolina)
-
Cross, M. D., Lipps, G. J., Sapak, J. M., Tobin, E. J., & Root, K. V. (2014). Pattern-recognition software as a supplemental method of identifying individual eastern box turtles (Terrapene c. carolina). Herpetological Review, 45, 584–586.
-
(2014)
Herpetological Review
, vol.45
, pp. 584-586
-
-
Cross, M.D.1
Lipps, G.J.2
Sapak, J.M.3
Tobin, E.J.4
Root, K.V.5
-
25
-
-
85016400118
-
The future of UAVs in ecology: An insider perspective from the Silicon Valley drone industry
-
Crutsinger, G. M., Short, J., & Sollenberger, R. (2016). The future of UAVs in ecology: An insider perspective from the Silicon Valley drone industry. Journal of Unmanned Vehicle Systems, 4, 161–168. https://doi.org/10.1139/juvs-2016-0008
-
(2016)
Journal of Unmanned Vehicle Systems
, vol.4
, pp. 161-168
-
-
Crutsinger, G.M.1
Short, J.2
Sollenberger, R.3
-
26
-
-
84962361060
-
Photo-identification as a technique for recognition of individual fish: A test with the freshwater armored catfish Rineloricaria aequalicuspis Reis & Cardoso, 2001 (Siluriformes: Loricariidae)
-
Dala-Corte, R. B., Moschetta, J. B., & Becker, F. G. (2016). Photo-identification as a technique for recognition of individual fish: A test with the freshwater armored catfish Rineloricaria aequalicuspis Reis & Cardoso, 2001 (Siluriformes: Loricariidae). Neotropical Ichthyology, 14, e150074.
-
(2016)
Neotropical Ichthyology
, vol.14
-
-
Dala-Corte, R.B.1
Moschetta, J.B.2
Becker, F.G.3
-
27
-
-
84902660161
-
Automated image-based tracking and its application in ecology
-
Dell, A. I., Bender, J. A., Branson, K., Couzin, I. D., de Polavieja, G. G., Noldus, L. P. J. J., … Brose, U. (2014). Automated image-based tracking and its application in ecology. Trends in Ecology and Evolution, 29, 417–428. https://doi.org/10.1016/j.tree.2014.05.004
-
(2014)
Trends in Ecology and Evolution
, vol.29
, pp. 417-428
-
-
Dell, A.I.1
Bender, J.A.2
Branson, K.3
Couzin, I.D.4
de Polavieja, G.G.5
Noldus, L.P.J.J.6
Brose, U.7
-
28
-
-
79961099231
-
An automatic counter for aerial images of aggregations of large birds
-
Descamps, S., Béchet, A., Descombes, X., Arnaud, A., & Zerubia, J. (2011). An automatic counter for aerial images of aggregations of large birds. Bird Study, 58, 302–308. https://doi.org/10.1080/00063657.2011.588195
-
(2011)
Bird Study
, vol.58
, pp. 302-308
-
-
Descamps, S.1
Béchet, A.2
Descombes, X.3
Arnaud, A.4
Zerubia, J.5
-
29
-
-
84893488110
-
Wildlife@Home: Combining crowd sourcing and volunteer computing to analyze avian nesting video
-
Desell, T., Bergman, R., Goehner, K., Marsh, R., Vanderclute, R., & Ellis-Felege, S. (2013). Wildlife@Home: Combining crowd sourcing and volunteer computing to analyze avian nesting video. Proceedings - IEEE 9th International Conference on e-Science, e-Science 2013, pp. 107–115.
-
(2013)
Proceedings - IEEE 9th International Conference on e-Science, e-Science 2013
, pp. 107-115
-
-
Desell, T.1
Bergman, R.2
Goehner, K.3
Marsh, R.4
Vanderclute, R.5
Ellis-Felege, S.6
-
30
-
-
84920641210
-
Sloop: A pattern retrieval engine for individual animal identification
-
Duyck, J., Finn, C., Hutcheon, A., Vera, P., Salas, J., & Ravela, S. (2015). Sloop: A pattern retrieval engine for individual animal identification. Pattern Recognition, 48, 1055–1069.
-
(2015)
Pattern Recognition
, vol.48
, pp. 1055-1069
-
-
Duyck, J.1
Finn, C.2
Hutcheon, A.3
Vera, P.4
Salas, J.5
Ravela, S.6
-
31
-
-
84889263344
-
Next-generation field guides
-
Farnsworth, E. J., Chu, M., Kress, W. J., Neill, A. K., Best, J. H., Stevenson, R. D., … Pickering, J. (2013). Next-generation field guides. BioScience, 63, 891–899. https://doi.org/10.1525/bio.2013.63.11.8
-
(2013)
BioScience
, vol.63
, pp. 891-899
-
-
Farnsworth, E.J.1
Chu, M.2
Kress, W.J.3
Neill, A.K.4
Best, J.H.5
Stevenson, R.D.6
Pickering, J.7
-
32
-
-
84955103729
-
Machine vision automated species identification scaled towards production levels
-
Favret, C., & Sieracki, J. M. (2016). Machine vision automated species identification scaled towards production levels. Systematic Entomology, 41, 133–143. https://doi.org/10.1111/syen.12146
-
(2016)
Systematic Entomology
, vol.41
, pp. 133-143
-
-
Favret, C.1
Sieracki, J.M.2
-
33
-
-
84955740964
-
A software system for automated identification and retrieval of moth images based on wing attributes
-
Feng, L., Bhanu, B., & Heraty, J. (2016). A software system for automated identification and retrieval of moth images based on wing attributes. Pattern Recognition, 51, 225–241. https://doi.org/10.1016/j.patcog.2015.09.012
-
(2016)
Pattern Recognition
, vol.51
, pp. 225-241
-
-
Feng, L.1
Bhanu, B.2
Heraty, J.3
-
34
-
-
84895725448
-
Whales from space: Counting southern right whales by satellite
-
Fretwell, P. T., Staniland, I. J., & Forcada, J. (2014). Whales from space: Counting southern right whales by satellite. PLoS ONE, 9, 1–9. https://doi.org/10.1371/journal.pone.0088655
-
(2014)
PLoS ONE
, vol.9
, pp. 1-9
-
-
Fretwell, P.T.1
Staniland, I.J.2
Forcada, J.3
-
35
-
-
85010878028
-
Computer-assisted recognition of dolphin individuals using dorsal fin pigmentations
-
Gilman, A., Hupman, K., Stockin, K. A., & Pawley, M. D. M. (2016). Computer-assisted recognition of dolphin individuals using dorsal fin pigmentations. 2016 International Conference on Image and Vision Computing New Zealand (IVCNZ), 1-6.
-
(2016)
2016 International Conference on Image and Vision Computing New Zealand (IVCNZ)
, pp. 1-6
-
-
Gilman, A.1
Hupman, K.2
Stockin, K.A.3
Pawley, M.D.M.4
-
36
-
-
85045305470
-
-
Giraldo-Zuluaga, J.-H., Gomez, A., Salazar, A., & Diaz-Pulido, A. (2017). Camera-trap images segmentation using multi-layer robust principal component analysis. arXiv:1701.08180
-
(2017)
Camera-trap images segmentation using multi-layer robust principal component analysis
-
-
Giraldo-Zuluaga, J.-H.1
Gomez, A.2
Salazar, A.3
Diaz-Pulido, A.4
-
37
-
-
85007028227
-
Animal Identification in Low Quality Camera-Trap Images Using Very Deep Convolutional Neural Networks and Confidence Thresholds
-
#x0026;, Springer International Publishing
-
Gomez, A., Diez, G., Salazar, A., & Diaz, A. (2016). Animal Identification in Low Quality Camera-Trap Images Using Very Deep Convolutional Neural Networks and Confidence Thresholds. Advances in Visual Computing: 12th International Symposium, ISVC 2016, Las Vegas, NV, USA, December 12–14, 2016, Proceedings, Part I, pp. 747–756. Springer International Publishing. https://doi.org/10.1007/978-3-319-50835-1
-
(2016)
Advances in Visual Computing: 12th International Symposium, ISVC 2016, Las Vegas, NV, USA, December 12–14, 2016, Proceedings, Part I
, pp. 747-756
-
-
Gomez, A.1
Diez, G.2
Salazar, A.3
Diaz, A.4
-
38
-
-
80052170423
-
Using object-based analysis of image data to count birds: Mapping of Lesser Flamingos at Kamfers Dam, Northern Cape, South Africa
-
Groom, G., Krag Petersen, I., Anderson, M. D., & Fox, A. D. (2011). Using object-based analysis of image data to count birds: Mapping of Lesser Flamingos at Kamfers Dam, Northern Cape, South Africa. International Journal of Remote Sensing, 32, 4611–4639. https://doi.org/10.1080/01431161.2010.489068
-
(2011)
International Journal of Remote Sensing
, vol.32
, pp. 4611-4639
-
-
Groom, G.1
Krag Petersen, I.2
Anderson, M.D.3
Fox, A.D.4
-
39
-
-
85011015890
-
Semantic body parts segmentation for quadrupedal animals
-
Haggag, H., Abobakr, A., Hossny, M., & Nahavandi, S. (2016). Semantic body parts segmentation for quadrupedal animals. 2016 IEEE International Conference on Systems, Man, and Cybernetics, pp. 855–860.
-
(2016)
2016 IEEE International Conference on Systems, Man, and Cybernetics
, pp. 855-860
-
-
Haggag, H.1
Abobakr, A.2
Hossny, M.3
Nahavandi, S.4
-
40
-
-
84911367832
-
Automatic identification of species with neural networks
-
Hernández-Serna, A., & Jiménez-Segura, L. F. (2014). Automatic identification of species with neural networks. PeerJ, 2, e563. https://doi.org/10.7717/peerj.563
-
(2014)
PeerJ
, vol.2
-
-
Hernández-Serna, A.1
Jiménez-Segura, L.F.2
-
41
-
-
84891951996
-
Unmanned aerial vehicles (UAVs) for surveying Marine Fauna: A dugong case study
-
Hodgson, A., Kelly, N., & Peel, D. (2013). Unmanned aerial vehicles (UAVs) for surveying Marine Fauna: A dugong case study. PLoS ONE, 8, 1–15.
-
(2013)
PLoS ONE
, vol.8
, pp. 1-15
-
-
Hodgson, A.1
Kelly, N.2
Peel, D.3
-
43
-
-
84905119264
-
Interactive plant identification based on social image data
-
Joly, A., Goëau, H., Bonnet, P., Bakić, V., Barbe, J., Selmi, S., … Barthélémy, D. (2014). Interactive plant identification based on social image data. Ecological Informatics, 23, 22–34. https://doi.org/10.1016/j.ecoinf.2013.07.006
-
(2014)
Ecological Informatics
, vol.23
, pp. 22-34
-
-
Joly, A.1
Goëau, H.2
Bonnet, P.3
Bakić, V.4
Barbe, J.5
Selmi, S.6
Barthélémy, D.7
-
44
-
-
48449104643
-
A 3D modeling method to calculate the surface areas of coral branches
-
Jones, A. M., Cantin, N. E., Berkelmans, R., Sinclair, B., & Negri, A. P. (2008). A 3D modeling method to calculate the surface areas of coral branches. Coral Reefs, 27, 521–526. https://doi.org/10.1007/s00338-008-0354-y
-
(2008)
Coral Reefs
, vol.27
, pp. 521-526
-
-
Jones, A.M.1
Cantin, N.E.2
Berkelmans, R.3
Sinclair, B.4
Negri, A.P.5
-
45
-
-
85016617280
-
Season spotter: Using citizen science to validate and scale plant phenology from near-surface remote sensing
-
Kosmala, M., Crall, A., Cheng, R., Hufkens, K., Henderson, S., & Richardson, A. (2016). Season spotter: Using citizen science to validate and scale plant phenology from near-surface remote sensing. Remote Sensing, 8, 726. https://doi.org/10.3390/rs8090726
-
(2016)
Remote Sensing
, vol.8
, pp. 726
-
-
Kosmala, M.1
Crall, A.2
Cheng, R.3
Hufkens, K.4
Henderson, S.5
Richardson, A.6
-
46
-
-
84879461913
-
Animal biometrics: Quantifying and detecting phenotypic appearance
-
Kühl, H. S., & Burghardt, T. (2013). Animal biometrics: Quantifying and detecting phenotypic appearance. Trends in Ecology and Evolution, 28, 432–441. https://doi.org/10.1016/j.tree.2013.02.013
-
(2013)
Trends in Ecology and Evolution
, vol.28
, pp. 432-441
-
-
Kühl, H.S.1
Burghardt, T.2
-
47
-
-
77949523520
-
Bisque: A platform for bioimage analysis and management
-
Kvilekval, K., Fedorov, D., Obara, B., Singh, A., & Manjunath, B. S. (2009). Bisque: A platform for bioimage analysis and management. Bioinformatics, 26, 544–552. https://doi.org/10.1093/bioinformatics/btp699
-
(2009)
Bioinformatics
, vol.26
, pp. 544-552
-
-
Kvilekval, K.1
Fedorov, D.2
Obara, B.3
Singh, A.4
Manjunath, B.S.5
-
48
-
-
84995799442
-
Feasibility of using high-resolution satellite imagery to assess vertebrate wildlife populations
-
LaRue, M. A., Stapleton, S., & Anderson, M. (2016). Feasibility of using high-resolution satellite imagery to assess vertebrate wildlife populations. Conservation Biology, 31, 213–220. https://doi.org/10.1111/cobi.12809
-
(2016)
Conservation Biology
, vol.31
, pp. 213-220
-
-
LaRue, M.A.1
Stapleton, S.2
Anderson, M.3
-
49
-
-
84962226538
-
Testing methods for using high-resolution satellite imagery to monitor polar bear abundance and distribution
-
LaRue, M. A., Stapleton, S., Porter, C., Atkinson, S., Atwood, T., Dyck, M., & Lecomte, N. (2015). Testing methods for using high-resolution satellite imagery to monitor polar bear abundance and distribution. Wildlife Society Bulletin, 39, 772–779. https://doi.org/10.1002/wsb.596
-
(2015)
Wildlife Society Bulletin
, vol.39
, pp. 772-779
-
-
LaRue, M.A.1
Stapleton, S.2
Porter, C.3
Atkinson, S.4
Atwood, T.5
Dyck, M.6
Lecomte, N.7
-
50
-
-
84929311154
-
A quick, easy and non-intrusive method for underwater volume and surface area evaluation of benthic organisms by 3D computer modelling
-
Lavy, A., Eyal, G., Neal, B., Keren, R., Loya, Y., & Ilan, M. (2015). A quick, easy and non-intrusive method for underwater volume and surface area evaluation of benthic organisms by 3D computer modelling. Methods in Ecology and Evolution, 6, 521–531. https://doi.org/10.1111/2041-210X.12331
-
(2015)
Methods in Ecology and Evolution
, vol.6
, pp. 521-531
-
-
Lavy, A.1
Eyal, G.2
Neal, B.3
Keren, R.4
Loya, Y.5
Ilan, M.6
-
51
-
-
84930630277
-
Deep learning
-
LeCun, Y., Bengio, Y., & Hinton, G. (2015). Deep learning. Nature, 521, 436–444. https://doi.org/10.1038/nature14539
-
(2015)
Nature
, vol.521
, pp. 436-444
-
-
LeCun, Y.1
Bengio, Y.2
Hinton, G.3
-
52
-
-
84979211514
-
Mate choice and body pattern variations in the Crown Butterfly fish Chaetodon paucifasciatus (Chaetodontidae)
-
Levy, K., Lerner, A., & Shashar, N. (2014). Mate choice and body pattern variations in the Crown Butterfly fish Chaetodon paucifasciatus (Chaetodontidae). Biology Open, 3, 1245–1251. https://doi.org/10.1242/bio.20149175
-
(2014)
Biology Open
, vol.3
, pp. 1245-1251
-
-
Levy, K.1
Lerner, A.2
Shashar, N.3
-
53
-
-
84945901544
-
Supporting the annual international black-faced spoonbill census with a low-cost unmanned aerial vehicle
-
Liu, C. C., Chen, Y. H., & Wen, H. L. (2015). Supporting the annual international black-faced spoonbill census with a low-cost unmanned aerial vehicle. Ecological Informatics, 30, 170–178. https://doi.org/10.1016/j.ecoinf.2015.10.008
-
(2015)
Ecological Informatics
, vol.30
, pp. 170-178
-
-
Liu, C.C.1
Chen, Y.H.2
Wen, H.L.3
-
54
-
-
84860215915
-
Detection, differentiation, and abundance estimation of penguin species by high-resolution satellite imagery
-
Lynch, H. J., White, R., Black, A. D., & Naveen, R. (2012). Detection, differentiation, and abundance estimation of penguin species by high-resolution satellite imagery. Polar Biology, 35, 963–968. https://doi.org/10.1007/s00300-011-1138-3
-
(2012)
Polar Biology
, vol.35
, pp. 963-968
-
-
Lynch, H.J.1
White, R.2
Black, A.D.3
Naveen, R.4
-
55
-
-
77954883241
-
Automated processing and identification of benthic invertebrate samples
-
Lytle, D. A., Martínez-Muñoz, G., Zhang, W., Larios, N., Shapiro, L., Paasch, R., … Dietterich, T. G. (2010). Automated processing and identification of benthic invertebrate samples. Journal of the North American Benthological Society, 29, 867–874. https://doi.org/10.1899/09-080.1
-
(2010)
Journal of the North American Benthological Society
, vol.29
, pp. 867-874
-
-
Lytle, D.A.1
Martínez-Muñoz, G.2
Zhang, W.3
Larios, N.4
Shapiro, L.5
Paasch, R.6
Dietterich, T.G.7
-
57
-
-
85036462657
-
Classification of wild animals based on SVM and local descriptors
-
Matuska, S., Hudec, R., Kamencay, P., Benco, M., & Zachariasova, M. (2014). Classification of wild animals based on SVM and local descriptors. AASRI Procedia, 9, 25–30. https://doi.org/10.1016/j.aasri.2014.09.006
-
(2014)
AASRI Procedia
, vol.9
, pp. 25-30
-
-
Matuska, S.1
Hudec, R.2
Kamencay, P.3
Benco, M.4
Zachariasova, M.5
-
58
-
-
85009423566
-
Ultra-fine scale spatially-integrated mapping of habitat and occupancy using structure
-
McDowall, P., & Lynch, H. J. (2017). Ultra-fine scale spatially-integrated mapping of habitat and occupancy using structure. PLoS ONE, 12, 1–16. https://doi.org/10.1371/journal.pone.0166773
-
(2017)
PLoS ONE
, vol.12
, pp. 1-16
-
-
McDowall, P.1
Lynch, H.J.2
-
59
-
-
84988564472
-
Using deep learning for image-based plant disease detection
-
Mohanty, S. P., Hughes, D. P., & Salathé, M. (2016). Using deep learning for image-based plant disease detection. Frontiers in Plant Science, 7, 1–7. https://doi.org/10.3389/fpls.2016.01419
-
(2016)
Frontiers in Plant Science
, vol.7
, pp. 1-7
-
-
Mohanty, S.P.1
Hughes, D.P.2
Salathé, M.3
-
60
-
-
59449092318
-
Coral surface area quantification-evaluation of established techniques by comparison with computer tomography
-
Naumann, M. S., Niggl, W., Laforsch, C., Glaser, C., & Wild, C. (2009). Coral surface area quantification-evaluation of established techniques by comparison with computer tomography. Coral Reefs, 28, 109–117. https://doi.org/10.1007/s00338-008-0459-3
-
(2009)
Coral Reefs
, vol.28
, pp. 109-117
-
-
Naumann, M.S.1
Niggl, W.2
Laforsch, C.3
Glaser, C.4
Wild, C.5
-
61
-
-
84925270506
-
StereoMorph: An R package for the collection of 3D landmarks and curves using a stereo camera set-up
-
Olsen, A. M., & Westneat, M. W. (2015). StereoMorph: An R package for the collection of 3D landmarks and curves using a stereo camera set-up. Methods in Ecology and Evolution, 6, 351–356. https://doi.org/10.1111/2041-210X.12326
-
(2015)
Methods in Ecology and Evolution
, vol.6
, pp. 351-356
-
-
Olsen, A.M.1
Westneat, M.W.2
-
62
-
-
84877910050
-
Implementing image analysis in laboratory-based experimental systems for ecology and evolution: A hands-on guide
-
Pennekamp, F., & Schtickzelle, N. (2013). Implementing image analysis in laboratory-based experimental systems for ecology and evolution: A hands-on guide. Methods in Ecology and Evolution, 4, 483–492. https://doi.org/10.1111/2041-210X.12036
-
(2013)
Methods in Ecology and Evolution
, vol.4
, pp. 483-492
-
-
Pennekamp, F.1
Schtickzelle, N.2
-
63
-
-
84975763656
-
Emerging technologies to conserve biodiversity
-
Pimm, S. L., Alibhai, S., Bergl, R., Dehgan, A., Giri, C., Jewell, Z., … Loarie, S. (2015). Emerging technologies to conserve biodiversity. Trends in Ecology & Evolution, 30, 685–696. https://doi.org/10.1016/j.tree.2015.08.008
-
(2015)
Trends in Ecology & Evolution
, vol.30
, pp. 685-696
-
-
Pimm, S.L.1
Alibhai, S.2
Bergl, R.3
Dehgan, A.4
Giri, C.5
Jewell, Z.6
Loarie, S.7
-
64
-
-
84997497873
-
AnimalFinder: A semi-automated system for animal detection in time-lapse camera trap images
-
Price Tack, J. L., West, B. S., McGowan, C. P., Ditchkoff, S. S., Reeves, S. J., Keever, A. C., & Grand, J. B. (2016). AnimalFinder: A semi-automated system for animal detection in time-lapse camera trap images. Ecological Informatics, 36, 145–151. https://doi.org/10.1016/j.ecoinf.2016.11.003
-
(2016)
Ecological Informatics
, vol.36
, pp. 145-151
-
-
Price Tack, J.L.1
West, B.S.2
McGowan, C.P.3
Ditchkoff, S.S.4
Reeves, S.J.5
Keever, A.C.6
Grand, J.B.7
-
65
-
-
84949678222
-
DeepFish: Accurate underwater live fish recognition with a deep architecture
-
Qin, H., Li, X., Liang, J., Peng, Y., & Zhang, C. (2016). DeepFish: Accurate underwater live fish recognition with a deep architecture. Neurocomputing, 187, 49–58. https://doi.org/10.1016/j.neucom.2015.10.122
-
(2016)
Neurocomputing
, vol.187
, pp. 49-58
-
-
Qin, H.1
Li, X.2
Liang, J.3
Peng, Y.4
Zhang, C.5
-
66
-
-
84894337235
-
A human-computer collaborative workflow for the acquisition and analysis of terrestrial insect movement in behavioral field studies
-
Reda, K., Mateevitsi, V., & Offord, C. (2013). A human-computer collaborative workflow for the acquisition and analysis of terrestrial insect movement in behavioral field studies. EURASIP Journal on Image and Video Processing, 2013, 48. https://doi.org/10.1186/1687-5281-2013-48
-
(2013)
EURASIP Journal on Image and Video Processing
, vol.2013
, pp. 48
-
-
Reda, K.1
Mateevitsi, V.2
Offord, C.3
-
67
-
-
84887343474
-
Ensemble video object cut in highly dynamic scenes
-
Ren, X., Han, T. X., & He, Z. (2013). Ensemble video object cut in highly dynamic scenes. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 1947–1954.
-
(2013)
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
, pp. 1947-1954
-
-
Ren, X.1
Han, T.X.2
He, Z.3
-
68
-
-
85010460271
-
Machine vision methods for analyzing social interactions
-
Robie, A. A., Seagraves, K. M., Egnor, S. E. R., & Branson, K. (2017). Machine vision methods for analyzing social interactions. The Journal of Experimental Biology, 220, 25–34. https://doi.org/10.1242/jeb.142281
-
(2017)
The Journal of Experimental Biology
, vol.220
, pp. 25-34
-
-
Robie, A.A.1
Seagraves, K.M.2
Egnor, S.E.R.3
Branson, K.4
-
69
-
-
85016136995
-
Automated detection and enumeration of marine wildlife using unmanned aircraft systems (UAS) and thermal imagery
-
Seymour, A. C., Dale, J., Hammill, M., Halpin, P. N., & Johnston, D. W. (2017). Automated detection and enumeration of marine wildlife using unmanned aircraft systems (UAS) and thermal imagery. Scientific Reports, 7, 1–10. https://doi.org/10.1038/srep45127
-
(2017)
Scientific Reports
, vol.7
, pp. 1-10
-
-
Seymour, A.C.1
Dale, J.2
Hammill, M.3
Halpin, P.N.4
Johnston, D.W.5
-
70
-
-
84898063054
-
A comprehensive review of background subtraction algorithms evaluated with synthetic and real videos
-
Sobral, A., & Vacavant, A. (2014). A comprehensive review of background subtraction algorithms evaluated with synthetic and real videos. Computer Vision and Image Understanding, 122, 4–21. https://doi.org/10.1016/j.cviu.2013.12.005
-
(2014)
Computer Vision and Image Understanding
, vol.122
, pp. 4-21
-
-
Sobral, A.1
Vacavant, A.2
-
71
-
-
0032634283
-
-
#x0026;, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, IEEE Comput. Soc.
-
Stauffer, C., & Grimson, W. E. L. (1999). Adaptive background mixture models for real-time tracking. Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 246–252. IEEE Comput. Soc.
-
(1999)
Adaptive background mixture models for real-time tracking
, pp. 246-252
-
-
Stauffer, C.1
Grimson, W.E.L.2
-
72
-
-
84910094067
-
Video-surveillance system for remote long-term in situ observations: Recording diel cavity use and behaviour of wild European lobsters (Homarus gammarus)
-
Steen, R., & Ski, S. (2014). Video-surveillance system for remote long-term in situ observations: Recording diel cavity use and behaviour of wild European lobsters (Homarus gammarus). Marine and Freshwater Research, 65, 1094–1101. https://doi.org/10.1071/MF13139
-
(2014)
Marine and Freshwater Research
, vol.65
, pp. 1094-1101
-
-
Steen, R.1
Ski, S.2
-
73
-
-
84902846907
-
Pattern recognition algorithm reveals how birds evolve individual egg pattern signatures
-
Stoddard, M. C., Kilner, R. M., & Town, C. (2014). Pattern recognition algorithm reveals how birds evolve individual egg pattern signatures. Nature Communications, 5, 4117.
-
(2014)
Nature Communications
, vol.5
, pp. 4117
-
-
Stoddard, M.C.1
Kilner, R.M.2
Town, C.3
-
74
-
-
84987789002
-
Camouflage and clutch survival in plovers and terns
-
Stoddard, M. C., Kupán, K., Eyster, H. N., Rojas-Abreu, W., Cruz-López, M., Serrano-Meneses, M. A., & Küpper, C. (2016). Camouflage and clutch survival in plovers and terns. Scientific Reports, 6, 32059. https://doi.org/10.1038/srep32059
-
(2016)
Scientific Reports
, vol.6
, pp. 32059
-
-
Stoddard, M.C.1
Kupán, K.2
Eyster, H.N.3
Rojas-Abreu, W.4
Cruz-López, M.5
Serrano-Meneses, M.A.6
Küpper, C.7
-
75
-
-
85016083137
-
Fish recognition from low-resolution underwater images
-
#x0026;, In, CISP-BMEI 2016
-
Sun, X., Shi, J., Dong, J., & Wang, X. (2017). Fish recognition from low-resolution underwater images. In Proceedings of the 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2016, pp. 471–476.
-
(2017)
Proceedings of the 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics
, pp. 471-476
-
-
Sun, X.1
Shi, J.2
Dong, J.3
Wang, X.4
-
76
-
-
84964474236
-
A generalized approach for producing, quantifying, and validating citizen science data from wildlife images
-
Swanson, A., Kosmala, M., Lintott, C., & Packer, C. (2016). A generalized approach for producing, quantifying, and validating citizen science data from wildlife images. Conservation Biology, 30, 520–531. https://doi.org/10.1111/cobi.12695
-
(2016)
Conservation Biology
, vol.30
, pp. 520-531
-
-
Swanson, A.1
Kosmala, M.2
Lintott, C.3
Packer, C.4
-
77
-
-
84937632029
-
Snapshot Serengeti, high-frequency annotated camera trap images of 40 mammalian species in an African savanna
-
Swanson, A., Kosmala, M., Lintott, C., Simpson, R., Smith, A., & Packer, C. (2015). Snapshot Serengeti, high-frequency annotated camera trap images of 40 mammalian species in an African savanna. Scientific Data, 2, 150026. https://doi.org/10.1038/sdata.2015.26
-
(2015)
Scientific Data
, vol.2
, pp. 150026
-
-
Swanson, A.1
Kosmala, M.2
Lintott, C.3
Simpson, R.4
Smith, A.5
Packer, C.6
-
78
-
-
58249098427
-
Computer vision, camouflage breaking and countershading
-
Tankus, A., & Yeshurun, Y. (2009). Computer vision, camouflage breaking and countershading. Philosophical Transactions of the Royal Society of London Series B, Biological Sciences, 364, 529–536. https://doi.org/10.1098/rstb.2008.0211
-
(2009)
Philosophical Transactions of the Royal Society of London Series B, Biological Sciences
, vol.364
, pp. 529-536
-
-
Tankus, A.1
Yeshurun, Y.2
-
79
-
-
84971475819
-
Assessing rotation-invariant feature classification for automated wildebeest population counts
-
Torney, C. J., Dobson, A. P., Borner, F., Lloyd-Jones, D. J., Moyer, D., Maliti, H. T., … Hopcraft, J. G. C. (2016). Assessing rotation-invariant feature classification for automated wildebeest population counts. PLoS ONE, 11, e0156342. https://doi.org/10.1371/journal.pone.0156342
-
(2016)
PLoS ONE
, vol.11
-
-
Torney, C.J.1
Dobson, A.P.2
Borner, F.3
Lloyd-Jones, D.J.4
Moyer, D.5
Maliti, H.T.6
Hopcraft, J.G.C.7
-
80
-
-
84886294712
-
Manta matcher: Automated photographic identification of manta rays using keypoint features
-
Town, C., Marshall, A., & Sethasathien, N. (2013). Manta matcher: Automated photographic identification of manta rays using keypoint features. Ecology and Evolution, 3, 1902–1914. https://doi.org/10.1002/ece3.587
-
(2013)
Ecology and Evolution
, vol.3
, pp. 1902-1914
-
-
Town, C.1
Marshall, A.2
Sethasathien, N.3
-
81
-
-
85009948953
-
Quantifying camouflage: How to predict detectability from appearance
-
Troscianko, J., Skelhorn, J., & Stevens, M. (2017). Quantifying camouflage: How to predict detectability from appearance. BMC Evolutionary Biology, 17, 7. https://doi.org/10.1186/s12862-016-0854-2
-
(2017)
BMC Evolutionary Biology
, vol.17
, pp. 7
-
-
Troscianko, J.1
Skelhorn, J.2
Stevens, M.3
-
82
-
-
84942155287
-
Locating chimpanzee nests and identifying fruiting trees with an unmanned aerial vehicle
-
van Andel, A. C., Wich, S. A., Boesch, C., Koh, L. P., Robbins, M. M., Kelly, J., & Kuehl, H. S. (2015). Locating chimpanzee nests and identifying fruiting trees with an unmanned aerial vehicle. American Journal of Primatology, 77, 1122–1134. https://doi.org/10.1002/ajp.22446
-
(2015)
American Journal of Primatology
, vol.77
, pp. 1122-1134
-
-
van Andel, A.C.1
Wich, S.A.2
Boesch, C.3
Koh, L.P.4
Robbins, M.M.5
Kelly, J.6
Kuehl, H.S.7
-
83
-
-
84959195964
-
Building a bird recognition app and large scale dataset with citizen scientists: The fine print in fine-grained dataset collection
-
In
-
Van Horn, G., Branson, S., Farrell, R., Haber, S., Barry, J., Ipeirotis, P., … Belongie, S. (2015). Building a bird recognition app and large scale dataset with citizen scientists: The fine print in fine-grained dataset collection. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 595–604.
-
(2015)
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
, pp. 595-604
-
-
Van Horn, G.1
Branson, S.2
Farrell, R.3
Haber, S.4
Barry, J.5
Ipeirotis, P.6
Belongie, S.7
-
84
-
-
85045299741
-
-
#x0026;, arXiv preprint.
-
Van Horn, G., Mac Aodha, O., Song, Y., Shepard, A., Adam, H., Perona, P., & Belongie, S. (2017). The iNaturalist Challenge 2017 Dataset. arXiv preprint arXiv:1707.06642.
-
(2017)
The iNaturalist Challenge 2017 Dataset
-
-
Van Horn, G.1
Mac Aodha, O.2
Song, Y.3
Shepard, A.4
Adam, H.5
Perona, P.6
Belongie, S.7
-
85
-
-
84994409131
-
Coral reef fish detection and recognition in underwater videos by supervised machine learning: Comparison between deep learning and HOG+SVM methods
-
#x0026;, In, Blanc-Talon J., Distante C., Philips W., Popescu D., Scheunders P., (eds), Lecture Notes in Computer Science, vol 10016., Cham, Switzerland, Springer
-
Villon, S., Chaumont, M., Subsol, G., Villéger, S., Claverie, T., & Mouillot, D. (2016). Coral reef fish detection and recognition in underwater videos by supervised machine learning: Comparison between deep learning and HOG+SVM methods. In Blanc-Talon J., Distante C., Philips W., Popescu D., Scheunders P. (eds) Advanced Concepts for Intelligent Vision Systems. ACIVS 2016. Lecture Notes in Computer Science, vol 10016. Cham, Switzerland: Springer.
-
(2016)
Advanced Concepts for Intelligent Vision Systems. ACIVS 2016
-
-
Villon, S.1
Chaumont, M.2
Subsol, G.3
Villéger, S.4
Claverie, T.5
Mouillot, D.6
-
86
-
-
84925258744
-
MotionMeerkat: Integrating motion video detection and ecological monitoring
-
Weinstein, B. G. (2015). MotionMeerkat: Integrating motion video detection and ecological monitoring. Methods in Ecology and Evolution, 6, 357–362. https://doi.org/10.1111/2041-210X.12320
-
(2015)
Methods in Ecology and Evolution
, vol.6
, pp. 357-362
-
-
Weinstein, B.G.1
-
87
-
-
85045334242
-
Data from: A computer vision for animal ecology
-
Weinstein, B. G. (2017). Data from: A computer vision for animal ecology. Dryad Digital Repository, https://doi.org/10.5061/dryad.b700h
-
(2017)
Dryad Digital Repository
-
-
Weinstein, B.G.1
-
88
-
-
85011700172
-
Persistent bill and corolla matching despite shifting temporal resources in tropical hummingbird-plant interactions
-
Weinstein, B. G., & Graham, C. H. (2017). Persistent bill and corolla matching despite shifting temporal resources in tropical hummingbird-plant interactions. Ecology Letters, 20, 326–335. https://doi.org/10.1111/ele.12730
-
(2017)
Ecology Letters
, vol.20
, pp. 326-335
-
-
Weinstein, B.G.1
Graham, C.H.2
-
89
-
-
84875635350
-
Animal recognition in the Mojave Desert: Vision tools for field biologists
-
Wilber, M. J., Scheirer, W. J., Leitner, P., Heflin, B., Zott, J., Reinke, D., … Boult, T. E. (2013). Animal recognition in the Mojave Desert: Vision tools for field biologists. 2013 IEEE Workshop on Applications of Computer Vision (WACV), pp. 206–213.
-
(2013)
2013 IEEE Workshop on Applications of Computer Vision (WACV)
, pp. 206-213
-
-
Wilber, M.J.1
Scheirer, W.J.2
Leitner, P.3
Heflin, B.4
Zott, J.5
Reinke, D.6
Boult, T.E.7
-
90
-
-
84971489762
-
An object-based image analysis approach for detecting penguin guano in very high spatial resolution satellite images
-
Witharana, C., & Lynch, H. J. (2016). An object-based image analysis approach for detecting penguin guano in very high spatial resolution satellite images. Remote Sensing, 8, 375. https://doi.org/10.3390/rs8050375
-
(2016)
Remote Sensing
, vol.8
, pp. 375
-
-
Witharana, C.1
Lynch, H.J.2
-
91
-
-
84958768070
-
Do common cuckoos (Cuculus canorus) possess an optimal laying behaviour to match their own egg phenotype to that of their Oriental reed warbler (Acrocephalus orientalis) hosts?
-
Yang, C., Wang, L., Liang, W., & Møller, A. P. (2016). Do common cuckoos (Cuculus canorus) possess an optimal laying behaviour to match their own egg phenotype to that of their Oriental reed warbler (Acrocephalus orientalis) hosts? Biological Journal of the Linnean Society, 117, 422–427. https://doi.org/10.1111/bij.12690
-
(2016)
Biological Journal of the Linnean Society
, vol.117
, pp. 422-427
-
-
Yang, C.1
Wang, L.2
Liang, W.3
Møller, A.P.4
-
92
-
-
84920420745
-
Spotting East African mammals in open savannah from space
-
Yang, Z., Wang, T., Skidmore, A. K., De Leeuw, J., Said, M. Y., & Freer, J. (2014). Spotting East African mammals in open savannah from space. PLoS ONE, 9, 1–16.
-
(2014)
PLoS ONE
, vol.9
, pp. 1-16
-
-
Yang, Z.1
Wang, T.2
Skidmore, A.K.3
De Leeuw, J.4
Said, M.Y.5
Freer, J.6
-
93
-
-
84885928934
-
Automated identification of animal species in camera trap images
-
Yu, X., Wang, J., Kays, R., Jansen, P. A., Wang, T., & Huang, T. (2013). Automated identification of animal species in camera trap images. EURASIP Journal on Image and Video Processing, 2013, 52. https://doi.org/10.1186/1687-5281-2013-52
-
(2013)
EURASIP Journal on Image and Video Processing
, vol.2013
, pp. 52
-
-
Yu, X.1
Wang, J.2
Kays, R.3
Jansen, P.A.4
Wang, T.5
Huang, T.6
-
94
-
-
84938641231
-
Automated detection of elephants in wildlife video
-
Zeppelzauer, M. (2013). Automated detection of elephants in wildlife video. EURASIP Journal on Image and Video Processing, 2013, 46. https://doi.org/10.1186/1687-5281-2013-46
-
(2013)
EURASIP Journal on Image and Video Processing
, vol.2013
, pp. 46
-
-
Zeppelzauer, M.1
-
95
-
-
84988807081
-
Animal detection from highly cluttered natural scenes using spatiotemporal object region proposals and patch verification
-
Zhang, Z., He, Z., Cao, G., & Cao, W. (2016). Animal detection from highly cluttered natural scenes using spatiotemporal object region proposals and patch verification. IEEE Transactions on Multimedia, 18, 2079–2092. https://doi.org/10.1109/TMM.2016.2594138
-
(2016)
IEEE Transactions on Multimedia
, vol.18
, pp. 2079-2092
-
-
Zhang, Z.1
He, Z.2
Cao, G.3
Cao, W.4
-
96
-
-
84860866802
-
-
#x0026;, International World Wide Web Conference Committee (IW3C2)
-
Zhang, H., Korayem, M., Crandall, D. J., & Lebuhn, G. (2012). Mining Photo-sharing Websites to Study Ecological Phenomena. International World Wide Web Conference Committee (IW3C2), pp. 749–758.
-
(2012)
Mining Photo-sharing Websites to Study Ecological Phenomena
, pp. 749-758
-
-
Zhang, H.1
Korayem, M.2
Crandall, D.J.3
Lebuhn, G.4
|