Measurement integration under inconsistency for robust tracking

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn 1, Issue , 2006, Pages 650-657

  Hua, Gang ^a   Wu, Ying ^a  

^a Northwestern University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

MEASUREMENT INTEGRATION; VISUAL TRACKING;

ALGEBRA; MEASUREMENT THEORY; PROBLEM SOLVING; ROBUSTNESS (CONTROL SYSTEMS); THEOREM PROVING;

TRACKING (POSITION);

EID: 33845596936     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2006.181     Document Type: Conference Paper

References (15)

1. D. Comaniciu. Nonparametric information fusion for motion estimation. In Proc. IEEE Conf. on Computer Vision and Pattern Recognition, 2003.
2. W. T. Freeman and E. C. Pasztor. Learning low-level vision. In Proc. IEEE International Conference on Computer Vision, pages 1182-1189, 1999.
3. B. Heisele, T. Serre, M. Pontil, and T. Poggio. Component-based face detection. In Proc. of IEEE Conference on Computer Vision and Pattern Recognition, volume 1, pages 657-662, 2001.
4. S. Ioffe and D. A. Forsyth. Mixtures of trees for object recognition. In Proc. of IEEE Conference on Computer Vision and Pattern Recognition, volume 2, pages 180-185, 2001.
5. M. Isard and A. Blake. Contour tracking by stochastic propagation of conditional density, In Proc. European Conference on Computer Vision, volume 1, pages 343-356, 1996.
6. S. Julier and J. Uhlmann. A nondivergent estimation algorithm in the presence of unknown correlations. In Proc. of the American Control Conference, Alberqueque, 6 1997,
7. X. R. Li, Y. Zhu, J. Wang, and C. Man. Optimal linear estimation fusionłpart i: Unified fusion rules. IEEE Transaction on Information Theory, 49(9):2192-2208, 2003.
8. V. I. Pavlovic, Dynamic Bayesian Networks for Information Fusion with Application to Human-Computer Interfaces. Phd thesis, Department of Electrical and Computer Engieering, University of Illinois at Urbana-Champaign, 1999.
9. J. Shi and C. Tomasi, Good features to track. In Proc. IEEE Conf. on Computer Vision and Pattern Recognition, pages 593-600, June 1994.
10. L. Sigal, S. Bhatia, S. Roth, and M. Black. Tracking looselimbed people,. In Proc. of IEEE Conference on Computer Vision and Pattern Recognition, volume 1, pages 421-428, 2004.
11. K. Toyama and E. Horvitz. Bayesian modality fusion: Probabilistic integration of multiple vision algorithms for head tracking. In Proc. of Fourth Asian Conference on Computer Vision, Taiwan, January 2000.
12. J. K. Uhlmann. Covariance consistency methods for fault-tolerant distributed data fusion. Information Fusion, Elsevier Science, 4(3):201-215, 3 2003.
13. Y. Wu, G. Hua, and T. Yu. Tracking articulated body by dynamic markov network. In Proc. IEEE International Conference on Computer Vision, pages 1094-1101, Nice,Côte d'Azur,France, October 2003.
14. Y Wu and T. S. Huang. Robust visual tracking by co-inference learning. In Proc. IEEE Int'l Conference on Computer Vision, volume II, pages 26-33, 2001.
15. X. S. Zhou, D. Comaniciu, and A. Gupta. An information fusion framework for robust shape tracking. IEEE Transaction on Pattern Analysis and Machine Intelligence, 27(1); 115-129, 2005.