메뉴 건너뛰기




Volumn 139, Issue , 2017, Pages 204-212

Fast object detection in pastoral landscapes using a Colour Feature Extreme Learning Machine

Author keywords

Colour image; Extreme learning machine; Object detection; Stock monitoring; Vehicle detection; Weed detection

Indexed keywords

AGRICULTURAL MACHINERY; AGRICULTURE; COLOR; KNOWLEDGE ACQUISITION; LEARNING SYSTEMS; OBJECT RECOGNITION; VEHICLES; WEED CONTROL;

EID: 85019773323     PISSN: 01681699     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compag.2017.05.017     Document Type: Article
Times cited : (17)

References (37)
  • 1
    • 84870266099 scopus 로고    scopus 로고
    • Human skin colour detection: a review on neural network perspective
    • Al-Mohair, H.K., Mohamad-Saleh, J., Suandi, S.A., Human skin colour detection: a review on neural network perspective. Int. J. Innov. Comput. 8:12 (2012), 8115–8131.
    • (2012) Int. J. Innov. Comput. , vol.8 , Issue.12 , pp. 8115-8131
    • Al-Mohair, H.K.1    Mohamad-Saleh, J.2    Suandi, S.A.3
  • 3
    • 84855692946 scopus 로고    scopus 로고
    • Towards machine vision based site-specific weed management in cereals
    • Berge, T., Goldberg, S., Kaspersen, K., Netland, J., Towards machine vision based site-specific weed management in cereals. Comput. Electron. Agric. 81 (2012), 79–86.
    • (2012) Comput. Electron. Agric. , vol.81 , pp. 79-86
    • Berge, T.1    Goldberg, S.2    Kaspersen, K.3    Netland, J.4
  • 4
    • 45749092926 scopus 로고    scopus 로고
    • Neural network based object recognition using colour block matching
    • In: Fourth IASTED Internation Conference Signal Processing, Pattern Recognition and Applications, Innsbruck, Austria.
    • Boehnke, K., Otesteanu, M., Roebrock, P., Winkler, W., Neddermeyer, W., 2007. Neural network based object recognition using colour block matching. In: Fourth IASTED Internation Conference Signal Processing, Pattern Recognition and Applications, Innsbruck, Austria.
    • (2007)
    • Boehnke, K.1    Otesteanu, M.2    Roebrock, P.3    Winkler, W.4    Neddermeyer, W.5
  • 5
    • 38349055380 scopus 로고    scopus 로고
    • Colour-spaces and colour segmentation for real-time object recognition in robotic applications
    • Caleiro, P.M.R., Neves, A.J.R., Pinho, A.J., Colour-spaces and colour segmentation for real-time object recognition in robotic applications. Revista do DETUA 4:8 (2007), 940–945.
    • (2007) Revista do DETUA , vol.4 , Issue.8 , pp. 940-945
    • Caleiro, P.M.R.1    Neves, A.J.R.2    Pinho, A.J.3
  • 7
    • 84869885866 scopus 로고    scopus 로고
    • Self-adaptive evolutionary extreme learning machine
    • Cao, J., Lin, Z., Huang, G.-B., Self-adaptive evolutionary extreme learning machine. Neural Process. Lett. 36:3 (2012), 285–305.
    • (2012) Neural Process. Lett. , vol.36 , Issue.3 , pp. 285-305
    • Cao, J.1    Lin, Z.2    Huang, G.-B.3
  • 8
    • 79952817023 scopus 로고    scopus 로고
    • Comparison of new activation functions in neural network for forecasting financial time series
    • da Gomes, G.S.S., Ludermir, T.B., Lima, L.M.M.R., Comparison of new activation functions in neural network for forecasting financial time series. Neural Comput. Appl. 20:3 (2011), 417–439.
    • (2011) Neural Comput. Appl. , vol.20 , Issue.3 , pp. 417-439
    • da Gomes, G.S.S.1    Ludermir, T.B.2    Lima, L.M.M.R.3
  • 9
    • 84860838398 scopus 로고    scopus 로고
    • In-line sorting of irregular potatoes by using automated computer-based machine vision system
    • ElMasry, G., Cubero, S., Moltó, E., Blasco, J., In-line sorting of irregular potatoes by using automated computer-based machine vision system. J. Food Eng. 112:1 (2012), 60–68.
    • (2012) J. Food Eng. , vol.112 , Issue.1 , pp. 60-68
    • ElMasry, G.1    Cubero, S.2    Moltó, E.3    Blasco, J.4
  • 10
    • 0027396025 scopus 로고
    • Introduction to backpropagation neural network computation
    • Erb, R.J., Introduction to backpropagation neural network computation. Pharm. Res. 10:2 (1993), 165–170.
    • (1993) Pharm. Res. , vol.10 , Issue.2 , pp. 165-170
    • Erb, R.J.1
  • 11
    • 85019727236 scopus 로고    scopus 로고
    • Ertuğrul, Ö.F., Kaya, Y., 2015. A Detailed Analysis on Extreme Learning Machine and Novel Approaches Based on ELM. <>.
    • Ertuğrul, Ö.F., Kaya, Y., 2015. A Detailed Analysis on Extreme Learning Machine and Novel Approaches Based on ELM. < http://www.openscienceonline.com/journal/ajcse>.
  • 12
    • 0012538091 scopus 로고    scopus 로고
    • Managing saffron thistle in pastures with strategic grazing
    • Grace, B.S., Whalley, R.D.B., Sheppard, A.W., Sindel, B.M., Managing saffron thistle in pastures with strategic grazing. Rangeland J. 24:2 (2002), 313–325.
    • (2002) Rangeland J. , vol.24 , Issue.2 , pp. 313-325
    • Grace, B.S.1    Whalley, R.D.B.2    Sheppard, A.W.3    Sindel, B.M.4
  • 13
    • 85019668432 scopus 로고    scopus 로고
    • Comprehensive infrared image edge detection algorithm
    • Gudipalli, A., Tirumala, R., Comprehensive infrared image edge detection algorithm. Int. J. Image Process. (IJIP) 6:5 (2012), 297–305.
    • (2012) Int. J. Image Process. (IJIP) , vol.6 , Issue.5 , pp. 297-305
    • Gudipalli, A.1    Tirumala, R.2
  • 14
    • 84925430748 scopus 로고    scopus 로고
    • A crop/weed field image dataset for the evaluation of computer vision based precision agriculture tasks
    • Springer International Publishing
    • Haug, S., Ostermann, J., A crop/weed field image dataset for the evaluation of computer vision based precision agriculture tasks. European Conference on Computer Vision, 2014, Springer International Publishing, 105–116.
    • (2014) European Conference on Computer Vision , pp. 105-116
    • Haug, S.1    Ostermann, J.2
  • 15
    • 33745903481 scopus 로고    scopus 로고
    • Extreme learning machine: theory and applications
    • Huang, G.-B., Zhu, Q.-Y., Siew, C.-K., Extreme learning machine: theory and applications. Neurocomputing 70 (2006), 489–501.
    • (2006) Neurocomputing , vol.70 , pp. 489-501
    • Huang, G.-B.1    Zhu, Q.-Y.2    Siew, C.-K.3
  • 16
    • 33745918399 scopus 로고    scopus 로고
    • Universal approximation using incremental constructive feedforward networks with random hidden nodes
    • Huang, G.-B., Chen, L., Siew, C.-K., Universal approximation using incremental constructive feedforward networks with random hidden nodes. IEEE Trans. Neural Netw. 17:4 (2006), 879–892.
    • (2006) IEEE Trans. Neural Netw. , vol.17 , Issue.4 , pp. 879-892
    • Huang, G.-B.1    Chen, L.2    Siew, C.-K.3
  • 17
    • 84908682236 scopus 로고    scopus 로고
    • Trends in extreme learning machines: a review
    • Huang, G., Huang, G.-B., Song, S., You, K., Trends in extreme learning machines: a review. Neural Netw. 61 (2015), 32–48.
    • (2015) Neural Netw. , vol.61 , pp. 32-48
    • Huang, G.1    Huang, G.-B.2    Song, S.3    You, K.4
  • 18
    • 80051893176 scopus 로고    scopus 로고
    • Statistical normalization and back propagation for classification
    • Jayalakshmi, T., Santhakumaran, A., Statistical normalization and back propagation for classification. Int. J. Comput. Theory Eng. 3:1 (2011), 1793–8201.
    • (2011) Int. J. Comput. Theory Eng. , vol.3 , Issue.1 , pp. 1793-8201
    • Jayalakshmi, T.1    Santhakumaran, A.2
  • 19
    • 84941730236 scopus 로고    scopus 로고
    • Real-time moving detection algorithm based on YUV colour space
    • Ke, Q., Zhang, F., Xiao, F., Real-time moving detection algorithm based on YUV colour space. Inform. Technol. Appl., 2015, 341–344.
    • (2015) Inform. Technol. Appl. , pp. 341-344
    • Ke, Q.1    Zhang, F.2    Xiao, F.3
  • 20
    • 84960879319 scopus 로고    scopus 로고
    • A review: Colour models in image processing
    • Kelda, H.K., Kaur, P., A review: Colour models in image processing. Int. J. Comput. Technol. Appl. 5:2 (2014), 319–322.
    • (2014) Int. J. Comput. Technol. Appl. , vol.5 , Issue.2 , pp. 319-322
    • Kelda, H.K.1    Kaur, P.2
  • 21
    • 84903625262 scopus 로고    scopus 로고
    • Hue and saturation in the RGB colour space
    • In: Lecture Notes in Computer Science, Cherbourg, France, vol. 8509
    • Loesdau, M., Chabrier, S., Gabillon, A., 2014. Hue and saturation in the RGB colour space. In: Conference: 6th International Conference. Lecture Notes in Computer Science, Cherbourg, France, vol. 8509, pp. 203–212.
    • (2014) Conference: 6th International Conference , pp. 203-212
    • Loesdau, M.1    Chabrier, S.2    Gabillon, A.3
  • 22
    • 84875302843 scopus 로고    scopus 로고
    • Development of an automatic grading machine for oil palm fresh fruits bunches (FFBs) based on machine vision
    • Makky, M., Soni, P., Development of an automatic grading machine for oil palm fresh fruits bunches (FFBs) based on machine vision. Comput. Electron. Agric. 93 (2013), 129–139.
    • (2013) Comput. Electron. Agric. , vol.93 , pp. 129-139
    • Makky, M.1    Soni, P.2
  • 23
    • 84942903272 scopus 로고    scopus 로고
    • Fast, simple and accurate handwritten digit classification by training shallow neural network classifiers with the ’extreme learning machine’ algorithm
    • McDonnell, M.D., Tissera, M.D., Vladusich, T., van Schaik, A., Tapson, J., Fast, simple and accurate handwritten digit classification by training shallow neural network classifiers with the ’extreme learning machine’ algorithm. PLoS One, 10(8), 2015.
    • (2015) PLoS One , vol.10 , Issue.8
    • McDonnell, M.D.1    Tissera, M.D.2    Vladusich, T.3    van Schaik, A.4    Tapson, J.5
  • 25
    • 85019702024 scopus 로고    scopus 로고
    • The LAPACKE C interface to LAPACK. <>.
    • Netlib.org, 2013. The LAPACKE C interface to LAPACK. < http://www.netlib.org/lapack/lapacke.html>.
    • (2013)
  • 26
    • 84875767553 scopus 로고    scopus 로고
    • Colour recognition algorithm using a neural network model in determining the ripeness of a banana
    • In: International Conference on Man-Machine Systems (ICoMMS), Batu Ferringhi. Malaysia, pp. 2B71–2B74.
    • Paulraj, M., Hema, C.R., Krishnan, R.P., Radzi, S.S.M., 2009. Colour recognition algorithm using a neural network model in determining the ripeness of a banana. In: International Conference on Man-Machine Systems (ICoMMS), Batu Ferringhi. Malaysia, pp. 2B71–2B74.
    • (2009)
    • Paulraj, M.1    Hema, C.R.2    Krishnan, R.P.3    Radzi, S.S.M.4
  • 28
    • 85019761286 scopus 로고    scopus 로고
    • Tech. Rep. International Telecommunications Union, Electronic Publication, Geneva.
    • Studio encoding parameters of digital television for standard 4:3 wide-screen 16:9 aspect ratios, 2015. Tech. Rep. International Telecommunications Union, Electronic Publication, Geneva.
    • (2015)
  • 29
    • 10444270713 scopus 로고    scopus 로고
    • Segmentation and histogram generation using the HSV colour space for image retrieval
    • IEEE
    • Sural, S., Qian, G., Pramanik, S., Segmentation and histogram generation using the HSV colour space for image retrieval. International Conference on Image Processing, vol. 2, 2002, IEEE, II-589–II-592.
    • (2002) International Conference on Image Processing , vol.2 , pp. II-589-II-592
    • Sural, S.1    Qian, G.2    Pramanik, S.3
  • 31
    • 84875927166 scopus 로고    scopus 로고
    • Quad bike injuries in Waikato, New Zealand: an institutional review from 2007-2011
    • Wood, A., Duijff, J.W., Christey, G.R., Quad bike injuries in Waikato, New Zealand: an institutional review from 2007-2011. ANZ J. Surg. 83:4 (2013), 206–210.
    • (2013) ANZ J. Surg. , vol.83 , Issue.4 , pp. 206-210
    • Wood, A.1    Duijff, J.W.2    Christey, G.R.3
  • 32
    • 84860295203 scopus 로고    scopus 로고
    • Variable field-of-view machine vision based row guidance of an agricultural robot
    • Xue, J., Zhang, L., Grift, T.E., Variable field-of-view machine vision based row guidance of an agricultural robot. Comput. Electron. Agric. 84 (2012), 85–91.
    • (2012) Comput. Electron. Agric. , vol.84 , pp. 85-91
    • Xue, J.1    Zhang, L.2    Grift, T.E.3
  • 34
    • 84876924052 scopus 로고    scopus 로고
    • Bidirectional extreme learning machine for regression problem and its learning effectiveness
    • Yang, Y., Wang, Y., Yuan, X., Bidirectional extreme learning machine for regression problem and its learning effectiveness. IEEE Trans. Neural Netw. Learn. Syst. 23:9 (2012), 1498–1505.
    • (2012) IEEE Trans. Neural Netw. Learn. Syst. , vol.23 , Issue.9 , pp. 1498-1505
    • Yang, Y.1    Wang, Y.2    Yuan, X.3
  • 35
    • 85019181998 scopus 로고    scopus 로고
    • SVM and ELM: who wins? object recognition with deep convolutional features from imagenet
    • Springer
    • Zhang, L., Zhang, D., SVM and ELM: who wins? object recognition with deep convolutional features from imagenet. ELM Theory, Algorithms and Applications, vol. 1, 2015, Springer, 249–263.
    • (2015) ELM, Theory, Algorithms and Applications , vol.1 , pp. 249-263
    • Zhang, L.1    Zhang, D.2
  • 36
    • 84893647885 scopus 로고    scopus 로고
    • Comparing the learning effectiveness of BP, ELM, I-ELM, and SVM for corporate credit ratings
    • Zhong, H., Miao, C., Shen, Z., Feng, Y., Comparing the learning effectiveness of BP, ELM, I-ELM, and SVM for corporate credit ratings. Neurocomputing 128 (2014), 285–295.
    • (2014) Neurocomputing , vol.128 , pp. 285-295
    • Zhong, H.1    Miao, C.2    Shen, Z.3    Feng, Y.4
  • 37
    • 84868626655 scopus 로고    scopus 로고
    • Weighted extreme learning machine for imbalance learning
    • Zong, W., Huang, G.-B., Chen, Y., Weighted extreme learning machine for imbalance learning. Neurocomputing 101 (2013), 229–242.
    • (2013) Neurocomputing , vol.101 , pp. 229-242
    • Zong, W.1    Huang, G.-B.2    Chen, Y.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.