Adaptive visual tracking and recognition using particle filters

Proceedings - IEEE International Conference on Multimedia and Expo

Volumn 2, Issue , 2003, Pages 349-352

  Zhou, Shaohua ^a   Chellappa, R ^a   Moghaddam, B ^b  

^a UNIVERSITY OF MARYLAND   (United States)

^b MITSUBISHI ELECTRIC RESEARCH LABORATORIES   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DISTRIBUTED COMPUTER SYSTEMS; MONTE CARLO METHODS;

ADAPTIVE APPEARANCE MODELS; ADAPTIVE VISUAL TRACKING; MOTION MODELING; PARTICLE FILTER; PERSONAL SPACES; POSE AND ILLUMINATION VARIATIONS; TIME SERIES MODELING; VIDEO SEQUENCES;

IMAGE ENHANCEMENT;

EID: 79960156680     PISSN: 19457871     EISSN: 1945788X     Source Type: Conference Proceeding    
DOI: 10.1109/ICME.2003.1221625     Document Type: Conference Paper

References (7)

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4. B. Moghaddam, "Principal manifolds and probabilistic subspacesfor visual recognition:' IEEE Trans. PAMI, vol. 24, pp.780-788,2002.
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7. A. Doucet, N. de Freitas. and N. Gordon, Sequential MonteCarlo Methods in Practice, Springer-Verlag. New York, 2001.