Globally optimum multiple object tracking

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 5810, Issue , 2005, Pages 82-93

  Sebe, Ismail Oner ^a   You, Suya ^a   Neumann, Ulrich ^a  

^a UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

Author keywords

Combinatorial assignment; Multiple hypothesis tracking; Multiple objects tracking; Occlusion tracking; Real time tracking

Indexed keywords

COMBINATORIAL ASSIGNMENT; MULTIPLE OBJECTS; OCCLUSION TRACKING; REAL-TIME TRACKING;

MATRIX ALGEBRA; OBJECT RECOGNITION; POLYNOMIALS;

TRACKING (POSITION);

EID: 27544449922     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.603210     Document Type: Conference Paper

References (25)

1. [Chen 01] Y. Chen, Y. Rui, and T. Huang, "JPDAF-Based HMM for Real-Time Contour Tracking", Proc. IEEE Conf. Computer Vision and Pattern Recognition, vol. I, pp. 543-550, 2001.
2. [Comaniciu 03] D. Comaniciu, V. Ramesh, and P. Meer, "Kernel-based object tracking", IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 25, No: 5, May 2003.
3. [Comaniciu 00] D. Comaniciu, V. Ramesh, and P. Meer, "Real-time tracking of non-rigid objects using mean-shift", Proc. IEEE Conf. Computer Vision and Pattern Recognition, Vol. II, pp. 142-149, June 2000.
4. [Cox 96] I. Cox and S. Hingorani, "An efficient implementation of Reid's multiple hypothesis tracking algorithm and its evaluation for purpose of visual tracking", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 18, no. 2, pp. 138-150, February 1996.
5. [Elgammal 02] A. Elgammal, R. Duraiswami, D. Harwood, L.S. Davis, "Background and foreground modeling using non-parametric kernel density estimation for visual surveillance", Proc. of The IEEE, Vol. 90, 1151-1163, 2002
6. [Gary 79] M. R. Gary and D. S. Johnson. Computers and Intractability. Freeman, 1979
7. [Gold 96] S. Gold, A. Rangarajan, "Softmax and softassign: Neural network algorithms for combinatorial optimization", Journal of Artificial Neural Networks, pages 381-399, Aug. 1996
8. nd Asian Conference on Remote Sensing, 5-9 November 2001, Singapore.
9. th World Congress on Intelligent Transport Systems. October 2002.
10. [Harville 01] M. Harville, G. Gordon, J. Woodfill, "Foreground Segmentation using Adaptive Mixture Models in Color and Depth". Proceedings of the IEEE Workshop on Detection and Recognition of Events in Video, July 2001.
11. [Isard 98] M. Isard, and A. Blake, "CONDENSATION - Conditional Density Propagation for Visual Tracking", IJCV, 29, 1, 1998.
12. [Isard 01] M. Isard and J. MacCormick, "BraMBLe: A Bayesian Multiple-Blob Tracker," ICCV 2001.
13. [Kanade 98] T. Kanade, R. Collins, A. Lipton, P. Burt and L. Wixson, "Advances in cooperative multi-sensor video surveillance". Proc. Of DARPA Image Understanding Workshop. Vol. 1, pp. 3-24. 1998.
14. [Kang 03] J. Kang, I. Cohen, and G. Medioni, "Continous tracking within and across camera streams", Proc. IEEE Conf. Computer Vision and Pattern, CVPR 2003, Madison, Wisconsin, June 16-22, 2003.
15. [Koller 94] W. Koller, J. Malik, "Robust multiple car tracking with occlusion reasoning", In Proc. Third European Conference on Computer Vision, May 2-6, 1994, pp. 189-196, LNCS 800, 1994.
16. [Kumar 00] R. Kumar, H.S. Sawhney, Y. Guo, S. Hsu, S. Samarasekera, "3D manipulation of motion imagery". ICIP 2000. September 2000.
17. [McKenna 99] S. McKenna, Y. Raja, and S. Gong, "Tracking color objects using adaptive mixture models", Image and Vision Computing Journal, vol. 17, pp. 223-229, 1999.
18. [Reid 79] D. Reid, "An algorithm for tracking multiple targets", IEE Transactions on Automatic Control, vol. AC-24, pp. 843-854, 1979.
19. [Remagnino 97] R. Remagnino, A. Baumberg, T. Grove, D. Hogg, T. Tan, A. Worrall, K. Baker, "An integrated traffic and pedestrian Model-based Vision System". Proceedings of BMVC97, vol. 2, 8-11th September, pp 380-389, 1997.
20. [Sebe 04] I.O. Sebe, S. You, U. Neumann, "Dynamic objects modeling and 3D visualization", ASPRS04, May 2004, Colorado
21. [Stauffer 99] C. Stauffer and W.E.L Grimson, "Adaptive background mixture models for real-time tracking", CVPR 1999.
22. [Tao 00] H. Tao, H.S. Sawhney, R. Kumar, "Dynamic layer representation with applications to tracking", in Proc. IEEE conf. on Computer Vision and Pattern Recognition, CVPR 2000, June 2000, vol. 2, pp 134-141.
23. [Toyama 99] K. Toyama, J. Krumm, B. Brumitt, B. Meyers (1999). Wallflower: Principles and Practice of Background Maintenance. ICCV 1999. pp 255-261.
24. [Wren 97] C. Wren, A. Azarbayejani, T. Darell, and A. Petland, "PFinder: Real-time tracking of Human Body", IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 19, pp. 780-785, 1997.
25. [Zhao 04] T. Zhao, R. Nevatia, "Tracking multiple humans in complex situations", IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 26, No: 9, September 2004.