Tracking by parts: A Bayesian approach with component collaboration

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics

Volumn 39, Issue 2, 2009, Pages 375-388

  Chang, Wen Yan ^a,b   Chen, Chu Song ^a,b   Hung, Yi Ping ^a,b  

^a INSTITUTE OF INFORMATION SCIENCE   (Taiwan)

^b NATIONAL TAIWAN UNIVERSITY   (Taiwan)

Author keywords

Component collaboration; Contrast histogram; Particle filtering; Tracking by parts (TBP); Visual tracking

Indexed keywords

COMPONENT COLLABORATION; CONTRAST HISTOGRAM; PARTICLE FILTERING; TRACKING BY PARTS (TBP); VISUAL TRACKING;

ACOUSTIC SIGNAL PROCESSING; DATA COMPRESSION; NONLINEAR FILTERING;

BAYESIAN NETWORKS;

EID: 64049093352     PISSN: 10834419     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSMCB.2008.2005417     Document Type: Article

References (31)

1. D. Comaniciu, V. Ramesh, and P. Meer, "Real-time tracking of nonrigid objects using mean shift," in Proc. IEEE Conf. Comput. Vis. Pattern Recog., 2000, vol. 2, pp. 142-149.
2. S. Avidan, "Support vector tracking," IEEE Trans. Pattern Anal. Mach. Intell., vol. 26, no. 8, pp. 1064-1072, Aug. 2004.
3. D. Ross, J. Lim, and M. H. Yang, "Adaptive probabilistic visual tracking with incremental subspace update," in Proc. Eur. Conf. Comput. Vis., 2004, vol. 2, pp. 470-482.
4. M. S. Arulampalam, S. Maskell, N. Gordon, and T. Clapp, "A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking," IEEE Trans. Signal Process., vol. 50, no. 2, pp. 174-188, Feb. 2002.
5. M. Isard and A. Blake, "ICONDENSATION - Unifying low-level and high-level tracking in a stochastic framework," in Proc. Eur. Conf. Comput. Vis., 1998, vol. 1, pp. 893-908.
6. S. Agarwal, A. Awan, and D. Roth, "Learning to detect objects in images via a sparse, part-based representation," IEEE Trans. Pattern Anal. Mach. Intell., vol. 26, no. 11, pp. 1475-1490, Nov. 2004.
7. M. Pantic and I. Patras, "Dynamics of facial expression: Recognition iof facial actions and their temporal segments from face profile image sequences," IEEE Trans. Syst., Man, Cybern. B, Cybern., vol. 36, no. 2, pp. 433-449, Apr. 2006.
8. P. Perez, C. Hue, J. Vermaak, and M. Gangnet, "Color-based probabilistic tracking," in Proc. Eur. Conf. Comput. Vis., 2002, vol. 1, pp. 661-675.
9. L. Sigal, Y. Zhu, D. Comaniciu, and M. J. Black, "Tracking complex objects using graphical object models," in Proc. Int. Workshop Complex Motion, 2004, pp. 223-234.
10. G. Hua and Y. Wu, "Measurement integration under inconsistency for robust tracking," in Proc. IEEE Conf. Comput. Vis. Pattern Recog. 2006, vol. 1, pp. 650-657.
11. T. Yu and Y. Wu, "Differential tracking based on spatial-appearance model," in Proc. IEEE Conf. Comput. Vis. Pattern Recog., 2006, vol. 1, pp. 720-727.
12. I. Patras and M. Pantic, "Particle filtering with factorized likelihoods for tracking facial features," in Proc. IEEE Int. Conf. Autom. Face Gesture Recog., 2004, pp. 97-102.
13. C. Rasmussen and G. D. Hager, "Probabilistic data association methods for tracking complex visual objects," IEEE Trans. Pattern Anal. Mach. Intell., vol. 23, no. 6, pp. 560-576, Jun. 2001.
14. W. Qu, D. Schonfeld, and M. Mohamed, "Real-time interactively distributed multi-object tracking using a magnetic-inertia potential model," in Proc. IEEE Int. Conf. Comput. Vis., 2005, vol. 1, pp. 535-540.
15. E. Sudderth, M. Mandel, W. Freeman, and A. Willsky, "Distributed occlusion reasoning for tracking with nonparametric belief propagation," in Proc. Advances Neural Inf. Process. Syst., 2004, pp. 1369-1376.
16. Y. Wu, G. Hua, and T. Yu, "Tracking articulated body by dynamic Markov network," in Proc. IEEE Int. Conf. Comput. Vis., 2003, pp. 1094-1101.
17. T. Yu and Y. Wu, "Decentralized multiple target tracking using netted collaborative autonomous trackers," in Proc. IEEE Conf. Comput. Vis. Pattern Recog., 2005, vol. 1, pp. 939-946.
18. K. Okuma, A. Taleghani, N. De Freitas, J. Little, and D. G. Lowe, "A boosted particle filter: Multitarget detection and tracking," in Proc. Eur. Conf. Comput. Vis., 2004, vol. 1, pp. 28-39.
19. J. Vermaak, A. Doucet, and P. Perez, "Maintaining multi-modality through mixture tracking," in Proc. IEEE Int. Conf. Comput. Vis., 2003, vol. 2, pp. 1110-1116.
20. C. Yang, R. Duraiswami, and L. Davis, "Fast multiple object tracking via a hierarchical particle filter," in Proc. IEEE Int. Conf. Comput. Vis., 2005, vol. 1, pp. 212-219.
21. J. Pearl, Probabilistic Reasoning in Intelligent Systems. San Mateo, CA: Morgan Kaufmann, 1988.
22. T. S. Jaakkola, "Tutorial on variational approximation method," in Advanced Mean Field Methods: Theory and Practice, MA: MIT Press, 2000.
23. M. Jordan, Z. Ghahramani, T. Jaakkola, and L. Saul, "An introduction to variational methods for graphical models," Mach. Learn., vol. 37, no. 2, pp. 183-233, 2000.
24. E. Sudderth, A. Ihler, W. Freeman, and A. Willsky, "Nonparametric belief propagation," in Proc. IEEE Conf. Comput. Vis. Pattern Recog. 2003, vol. 1, pp. 605-612.
25. Z. Khan, T. Balch, and F. Dellaert, "An MCMC-based particle filter for tracking multiple interacting targets," in Proc. Eur. Conf. Comput. Vis., 2004, vol. 4, pp. 279-290.
26. F. R. Kschischang, B. J. Frey, and H. A. Loeliger, "Factor graphs and the sum-product algorithm," IEEE Trans. Inf. Theory, vol. 47, no. 2, pp. 498-519, Feb. 2001.
27. D. G. Lowe, "Distinctive image features from scale-invariant keypoints," Int. J. Comput. Vis., vol. 60, no. 2, pp. 91-110, Nov. 2004.
28. C. R. Huang, C. S. Chen, and P. C. Chung, "Contrast context histogram - A discriminating local descriptor for image matching," in Proc. Int. Conf. Pattern Recog., 2006, vol. 4, pp. 53-56.
29. S. Belongie, J. Malik, and J. Puzicha, "Shape matching and object recognition using shape contexts," IEEE Trans. Pattern Anal. Mach. Intell., vol. 24, no. 4, pp. 509-522, Apr. 2002.
30. J. Deutscher and I. Reid, "Articulated body motion capture by stochastic search," Int. J. Comput. Vis., vol. 61, no. 2, pp. 185-205, Feb. 2005.
31. A. D. Jepson, D. J. Fleet, and T. F. El-Maraghi, "Robust online appearance models for visual tracking," IEEE Trans. Pattern Anal. Mach. Intell., vol. 25, no. 10, pp. 1296-1311, Oct. 2003.