A multiview, multimodal fusion framework for classifying small marine animals with an opto-acoustic imaging system

2009 Workshop on Applications of Computer Vision, WACV 2009

Volumn , Issue , 2009, Pages

  Roberts, Paul L D ^a   Jaffe, Jules S ^a   Trivedi, Mohan M ^b  

^a UNIVERSITY OF CALIFORNIA SAN DIEGO   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

APRIORI; CRUSTACEAN ZOOPLANKTON; FEEDBACK NETWORKS; MARINE ANIMALS; MARINE PLANKTONS; MULTI-MODAL FUSION; MULTI-VIEWS; NOISE ROBUSTNESS; OPTICAL FEATURES; VIDEO DATA;

ACOUSTIC IMAGING; ANIMALS; COMPUTER APPLICATIONS; COMPUTER VISION; IMAGING SYSTEMS; OPTOELECTRONIC DEVICES; TECHNICAL PRESENTATIONS; VIDEO RECORDING;

ALGORITHMS;

EID: 77951199001     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WACV.2009.5403037     Document Type: Conference Paper

References (31)

1. P. Wiebe and M. Benfield, "From the hensen net twoard four-dimensional biological oceanography," Prog. Oceanogr., vol. 1, pp. 130-138, Jan 2003.
2. M. Blaschko, G. Holness, M. Mattar, D. Lisin, P. Utgoff, A. Hanson, H. Schultz, and E. Riseman, "Automatic in situ identification of plankton," in IEEE Workshops on Application of Computer Vision., vol. 1, Jan. 2005, pp. 79-86.
3. Q. Hu and C. Davis, "Automatic plankton image recognition with co-occurrence matrices and support vector machine," Mar. Eco.-Prog. Ser., vol. 295, pp. 21-31, June 2005.
4. T. Luo, K. Kramer, D. B. Goldgof, L. O. Hall, S. Samson, A. Remsen, and T. Hopkins, "Active learning to recognize multiple types of plankton," J. Mach. Learn. Res., vol. 6, pp. 589-613, Apr. 2005.
5. J. L. Bell and R. R. Hopcroft, "Assessment of zooimage as a tool for the classification of zooplankton," J. Plankton Res., vol. 30, pp. 1351-1367, Dec. 2008.
6. D. Edgington, D. Cline, D. Davis, I. Kerkez, and J. Mariette, "Detecting, tracking and classifying animals in underwater video," in OCEANS 2006, Sep. 2006, pp. 1-5.
7. A. G. Cabreira, M. Tripode, and A. Madirolas, "Artificial neural networks for fish-species identification," ICES J. Mar. Sci., vol. 66, pp. 1119-1129, July 2009.
8. E. Rogers, G. Fleischer, P. Simpson, and G. Denny, "Broadband fish identification of laurentian great lakes fishes," IEEE International Geoscience and Remote Sensing Symposium, vol. 2, pp. 1430-1434, Sept. 2004.
9. L. Martin, T. Stanton, P. Wiebe, and J. Lynch, "Acoustic classification of zooplankton," ICES J. Mar. Sci., vol. 53, pp. 217-224, 1996.
10. R. K. Cowen and C. M. Guigand, "In situ ichthyoplankton imaging system (isiis): system design and preliminary results," Limnol. Oceanogr.-Meth., vol. 6, pp. 126-132, Feb. 2008.
11. J. Jaffe, M. Ohman, and A. Derobertis, "Oasis in the sea: measurement of the acoustic reflectivity of zooplankton with concurrent optical imaging," Deep-Sea Res. Pt. II, vol. 45, pp. 1239-1253, 1998.
12. E. A. Broughton and R. G. Lough, "A direct comparison of mocness and video plankton recorder zooplankton abundance estimates: Possible applications for augmenting net sampling with video systems." Deep-Sea Res. Pt. II, vol. 53, pp. 2789-2807, 2006.
13. S. Shivappa, M. M. Trivedi, and B. D. Rao, "Hierarchical audio-visual cue integration framework for activity analysis in intelligent meeting rooms," in Computer Vision and Pattern Recognition Workshop, June 2009, pp. 107-114.
14. S. Krotosky and M. Trivedi, "Person surveillance using visual and infrared imagery," IEEE T. Circ. Syst. Vid., vol. 18, pp. 1096-1105, Aug. 2008.
15. S. Y. Cheng, S. Park, and M. M. Trivedi, "Multi-spectral and multi-perspective video arrays for driver body tracking and activity analysis," Comput. Vis. Image. Und., vol. 106, pp. 245-257, May 2007.
16. J. S. Jaffe, "Using multiple-angle scattered sound to size fish swim bladders," ICES J. Mar. Sci., vol. 63, pp. 1397-1404, 2006.
17. P. L. D. Roberts and J. S. Jaffe, "Multiple angle acoustic classification of zooplankton," J. Acoust. Soc. Am., vol. 121, pp. 2060-2070, Apr. 2007.
18. M. Azimi-Sadjadi, D. Yao, Q. Huang, and G. Dobeck, "Underwater target classification using wavelet packets and neural networks," IEEE T. Neural. Networ., vol. 11, pp. 784-794, May 2000.
19. J. Cartmill, N. Wachowski, and M. R. Azimi-Sadjadi, "Buried underwater object classification using a collaborative multiaspect classifier," IEEE J. Ocean. Eng., vol. 34, pp. 32-44, Jan. 2009.
20. C. J. C. Burges, "A tutorial on support vector machines for pattern recognition," Data Min. Knowl. Disc., vol. 2, pp. 121-167, 1998.
21. B. T. Morris and M. M. Trivedi, "Learning, modeling, and classification of vehicle track patterns from live video," IEEE T. Intell. Transp., vol. 9, pp. 425-437, Sept. 2008.
22. P. L. D. Roberts and J. S. Jaffe, "Classification of live, unteth-ered zooplankton from observations of multiple-angle acoustic scatter," J. Acoust. Soc. Am., vol. 124, pp. 796-802, Aug. 2008.
23. D. Chu and T. Stanton, "Application of pulse compression techniques to broadband acoustic scattering by live individual zooplankton," J. Acoust. Soc. Am., vol. 104, pp. 39-55, July 1998.
24. A. V. Oppenheim and R. W. Schafer, Discrete-Time Signal Processing, 2nd ed. Prentice-Hall, 1998.
25. S. Iwamoto, D. M. C. Jr., and M. M. Trivedi, "Reflics: Realtime flow imaging and classification system," Mach. Vison Appl., vol. 13, pp. 1-13, 2001.
26. X. Tang, F. Lin, S. Samson, and A. Remsen, "Binary plankton image classification," IEEE J. Ocean. Eng., vol. 31, pp. 728-735, July 2006.
27. H. Zhou, C. Wang, and R. Wang, "Biologically-inspired identification of plankton based on hierarchical shape semantics modeling," in Int. Conf. Bioinformatics and Biomedical Engineering, May 2008, pp. 2000-2003.
28. M. Piccardi, "Background subtraction techniques: a review," in Int. Conf. on Systems, Man and Cybernetics, vol. 4, Oct. 2004, pp. 3099-3104.
29. T. K. Moon and W. C. Stirling, Mathematical methods and algorithms for signal processing. Prentice Hall, 2000.
30. M. Markatou, H. Tian, S. Biswas, and G. Hripcsak, "Analysis of variance of cross-validation estimators of the generalization error," J. Mach. Learn. Res., vol. 6, pp. 1127-1168, July 2005.
31. P. L. D. Roberts, "Multi-view, broadband, acoustic classification of marine animals," Ph.D. dissertation, University of California, San Diego, May 2009.