Probabilistic color and adaptive multi-feature tracking with dynamically switched priority between cues

Proceedings of the IEEE International Conference on Computer Vision

Volumn , Issue , 2007, Pages

  Badrinarayanan, Vijay ^a   Perez, Patrick ^b   Le Clerc, Francois ^a   Oisel, Lionel ^a  

^a FCA UNESP   (Brazil)

^b INRIA   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER NETWORKS; COMPUTER VISION; IMAGE PROCESSING; OPTICAL PROPERTIES; PROBABILITY; PROBABILITY DISTRIBUTIONS;

INTERNATIONAL CONFERENCES; RE-SAMPLING;

TARGET TRACKING;

EID: 50649089568     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2007.4408955     Document Type: Conference Paper

References (13)

1. M. S. Arulampalam, S. Maskell, N. Gordon, and T. Clapp. A tutorial on particle filters for online nonlinear/ non-gaussian bayesian tracking. IEEE Trans. on Signal Processing, 50(2):174-188, 2002.
2. R. T. Collins, X. Zhou, and S. K. Teh. An open source tracking testbed and evaluation web site. In IEEE International Workshop on Performance Evaluation of Tracking and Surveillance (PETS), 2005.
3. C. Harris and M. J. Stephens. A combined corner and edge detector. In In Alvey Vision Conference, 1988.
4. G. Hua, Y. Wu, and Z. Fan. Measurement integration under inconsistency for robust tracking. In CVPR, New York City, NY, 2006.
5. A. Jepson, D. Fleet, and T. El-Maraghi. Robust online appearance models for visual tracking. IEEE Trans. on PAMI, 25(10):1296-1311, 2003.
6. M. Kolsch and M. Turk. Fast 2d tracking with flocks of features and multi-cue integration. In CVPR Workshop, 2004.
7. I. Leichter, M. Lindenbaum, and E. Rivlin. A generalised framework for combining visual trackers - the "black boxes approach". IJCV, 67(3):343-363, 2006.
8. D. G. Lowe. Distinctive image features from scale-invariant keypoints. IJCV, 60(2):91-110, 2004.
9. E. Maggio, F. Smeraldi, and A. Cavallaro. Combining colour and orientation for adaptive particle filter-based tracking. In BMVC, 2005.
10. I. Nemenman. Entropy estimation: A general overview. In NIPS Entropy Estimation Workshop, 2003.
11. P. Perez, J. Vermaak, and A. Blake. Data fusion for visual tracking with particles. Proc. IEEE, 92(3):495-513, 2004.
12. G. Strang. Linear Algebra and its Applications. Brooks Cole, 1988.
13. H. Veeraraghavan, P. Schrater, and N. Papanikolopoulos. Robust target detection and tracking through integration of motion, color and geometry. CVIU, 103:121-138, 2006.