Predictive estimation method to track occluded multiple objects using joint probabilistic data association filter

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3656 LNCS, Issue , 2005, Pages 852-860

  Lee, Heungkyu ^a   Ko, Hanseok ^a  

^a Korea University   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; DATA STRUCTURES; OBJECT RECOGNITION; PARAMETER ESTIMATION; PROBABILISTIC LOGICS; ROBUSTNESS (CONTROL SYSTEMS);

MULTI-TARGET TRACKING; PREDICTIVE ESTIMATION METHOD; TRACKING SYSTEM;

TRACKING (POSITION);

EID: 33646015643     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11559573_104     Document Type: Conference Paper

References (6)

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2. S. J. McKenna, S. jabri and Z. Duric, A. Rosenfeld, H. Wechsler "Tracking Groups of people", Computer Vision and Image Understanding, pp42-56, 2000.
3. Wenmiao Lu, Yap-Peng Tan, "A color histogram based people tracking system", Circuits and Systems, The 2001 IEEE International Symposium on, pp 137-140, May 2001.
4. Romer Rosales and Stan Sclaroff, "3D Trajectory Recovery for Tracking Multiple Objects and Trajectory Guided Recognition of Actions", In Proc of IEEE on Computer Vision and Pattern Recognition, June 1999.
5. Rasmussen, C, Hager, G.D, "Joint probabilistic techniques for tracking multi-part objects", Computer Vision and Pattern Recognition, Proceedings. IEEE Computer Society Conference on, pp 16-21, June 1998.
6. Y. Bar-Shalom and X. R. Li, Multitarget-multisensor tracking: principles and techniques, YBS Press, 1995.