Catching a rat by its edglets

IEEE Transactions on Image Processing

Volumn 22, Issue 2, 2013, Pages 668-678

  Farah, Rana ^a   Langlois, J M Pierre ^a   Bilodeau, Guillaume Alexandre ^a  

^a ÉCOLE POLYTECHNIQUE DE MONTRÉAL   (Canada)

Author keywords

Animals computer vision; edge background; edglets; overlapped histograms of intensity

Indexed keywords

EDGE BACKGROUND; EDGLETS; LABORATORY ANIMALS; LABORATORY CONDITIONS; NONINVASIVE METHODS; OVERLAPPED HISTOGRAMS OF INTENSITY; ROBUST TRACKING METHODS; SLIDING WINDOW; STATE-OF-THE-ART METHODS; TRACKING ERRORS;

COMPUTER VISION; NONINVASIVE MEDICAL PROCEDURES;

ANIMALS;

ALGORITHM; AMBULATORY MONITORING; ANIMAL; ANIMAL BEHAVIOR; ANIMAL HOUSING; ARTICLE; CLASSIFICATION; IMAGE PROCESSING; METHODOLOGY; RAT; VIDEORECORDING;

ALGORITHMS; ANIMALS; BEHAVIOR, ANIMAL; HOUSING, ANIMAL; IMAGE PROCESSING, COMPUTER-ASSISTED; MONITORING, AMBULATORY; RATS; VIDEO RECORDING;

MLCS; MLOWN;

EID: 84872341567     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2012.2221726     Document Type: Article

References (33)

1. R. Farah, J. M. P. Langlois, and G. A. Bilodeau, "RAT: Robust animal tracking," in Proc. Int. Symp. Robot. Sensors Environ., 2011, pp. 65-71.
2. H. Pistori, V. Odakura, J. B. O. Monteiro, W. N. Gonçalves, A. Roel, J. A. Silva, and B. B. Machado, "Mice and larvae tracking using a particle filter with an auto-adjustable observation model," Pattern Recognit. Lett., vol. 31, no. 4, pp. 337-346, Mar. 2010.
3. W. N. Goncalves, J. B. O. Monteiro, J. A. Silva, B. B. Machado, H. Pistori, and V. Odakura, "Multiple mice tracking using a combination of particle filter and K-means," in Proc. Symp. Comput. Graph. Image Process., Oct. 2007, pp. 173-178.
4. Y. Nie, T. Takaki, H. Ishii, and H. Matsuda, "Behavior recognition in laboratory mice using HFR video analysis," in Proc. IEEE Int. Conf. Robot. Autom., May 2011, pp. 1595-1600.
5. Y. Nie, I. Ishii, K. Yamamoto, T. Takaki, K. Orito, and H. Matsuda, "High-speed video analysis of laboratory rats behaviors in forced swim test," in Proc. Int. Conf. Autom. Sci. Eng., 2008, pp. 206-211.
6. Y. Nie, I. Ishii, K. Yamamoto, K. Orito, and H. Matsuda, "Real-time scratching behavior quantification system for laboratory mice using highspeed vision," J. Real-Time Image Process., vol. 4, no. 4, pp. 181-190, Jun. 2009.
7. P. Dollar, V. Raboud, G. Cottrell, and S. Belongie, "Behavior recognition via sparse spatio-temporal features," in Proc. 2nd Joint IEEE Int. Workshop Vis. Surveill. Perform. Eval. Track. Surveill., Oct. 2005, pp. 65-72.
8. S. Belongie, K. Branson, P. Dollar, and V. Rabaud, "Monitoring animal behavior in the smart vivarium," in Proc. Meas. Behavior, 2005, pp. 70-72.
9. H. Jhuang, E. Garrote, X. Yu, V. Khilnani, T. Poggio, A. D. Steele, and T. Serre, "Automated home-cage behavioral phenotyping of mice," Nature Commun., vol. 1, p. 68, Sep. 2010.
10. H. Jhuang, E. Garrote, N. Edelman, T. Poggio, A. Steele, and T. Serre, "Trainable, vision-based automated home cage behavioral phenotyping," in Proc. Int. Conf. Methods Tech. Behavioral Res., 2010, pp. 1-4.
11. H. Jhuang, E. Garrote, T. Poggio, A. Steele, and T. Serre, "Vision-based automated recognition of mice home-cage behaviors," in Proc. Int. Conf. Pattern Recognit., 2010, pp. 1-50.
12. Vision-Based System for Automated Mouse Behavior Recognition. (2011, Jul. 25) [Online]. Available: http://cbcl.mit.edu/software-datasets/mouse
13. P. Dollar, Z. Tu, and S. Belongie, "Supervised learning of edges and object boundaries," in Proc. Conf. Comput. Vis. Pattern Recognit., 2006, pp. 1964-1971.
14. K. Branson and S. Belongie, "Tracking multiple mouse contours (without too many samples)," in Proc. Conf. Comput. Vis. Pattern Recognit., vol. 1. 2005, pp. 451-457.
15. D. Martin, C. Fowlkes, and J. Malik, "Learning to detect natural image boundaries using loacl brightness, color, and texture cues," IEEE Trans. Pattern Anal. Mach. Intell., vol. 26, no. 5, pp. 530-549, May 2004.
16. EthoVision XT. (2011, Aug. 8) [Online]. Available: http://www.noldus. com/animal-behaviorresearch/products/ethovision-xt
17. Computer, Video, and Data Acquisition Systems. (2011, Aug. 8) [Online]. Available: http://www.noldus.com/animal-behaviorresearch/accessories/ computervideo-and-daq-systems
18. S. L. Wilks, W. Wolf, Y. Liang, V. Kobla, X. Bais, Y. Zhang, and L. S. Crnic, "Unified system and method for animal behavior characterization from top view using video analysis," U.S. Patent 7 643 655, Jan. 5, 2004.
19. Y. Liang, V. Kobla, X. Bais, and Y. Zhang, "Unified system and method for animal characterization in home cages using video analysis," U.S. Patent 7 209 588, Apr. 24, 2007.
20. Home Cage Environement. (2011, Oct. 4) [Online]. Available: http://www.cleversysinc.com/products/hardware/home-cageenvironment
21. J. Shi and C. Tomasi, "Good features to track," in Proc. Conf. Comput. Vis. Pattern Recognit., 1994, pp. 593-600.
22. D. Comaniciu and P. Meer, "Mean shift: A robust approach toward feature space analysis," IEEE Trans. Pattern Anal. Mach. Intell., vol. 24, no. 5, pp. 603-619, May 2002.
23. G. R. Bradski, "Computer vision face tracking for use in a perceptual user interface," Int. Technol. J., no. Q2, pp. 1-15, 1998.
24. C. Stauffer and W. E. L. Grimson, "Adaptive background mixture models for real-time tracking," in Proc. Conf. Comput. Vis. Pattern Recognit., 1999, pp. 246-252.
25. J. Hao and M. S. Drew, "A predictive contour inertia snake model for general video tracking," in Proc. IEEE Int. Conf. Image Process., Mar. 2002, pp. 413-416.
26. N. Vaswani, Y. Rathi, A. Yezzi, and A. Tannenbaum, "PF-MT with an interpolation effective basis for tracking local contour deformations," IEEE Trans. Image Process., vol. 19, no. 4, pp. 841-857, Apr. 2010.
27. N. Dallal and B. Triggs, "Histograms of oriented gradients for human detection," in Proc. Conf. Comput. Vis. Pattern Recognit., 2005, pp. 886-893.
28. N. Dallal, "Finding people in images and videos," Ph.D. thesis, Inst. National Polytechnique de Grenoble, Grenoble, France, Jul. 2006.
29. D. Comaniciu, V. Ramesh, and P. Meer, "Kernel-based object tracking," IEEE Trans. Pattern Anal. Mach. Intell., vol. 25, no. 5, pp. 564-577, May 2003.
30. Z. Yin, F. Porikli, and R. Collins, "Likelihood map fusion for visual object tracking," in Proc. IEEE Workshop Appl. Comput. Vis., Jan. 2008, pp. 1-8.
31. Z. Yin and R. Collins, "Moving object localization in thermal imagery by forward-backward MHI," in Proc. Conf. Comput. Vis. Pattern Recognit. Workshop, Jun. 2006, p. 133.
32. X. Hou and L. Zhang, "Saliency detection: A spectral residual approach," in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., Jun. 2007, pp. 1-8.
33. J. Canny, "A computational approach to edge detection," IEEE Trans. Pattern Anal. Mach. Intell., vol. 8, no. 6, pp. 679-698, Nov. 1986.