Random field topic model for semantic region analysis in crowded scenes from tracklets

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

Volumn , Issue , 2011, Pages 3441-3448

  Zhou, Bolei ^a   Wang, Xiaogang ^a,b   Tang, Xiaoou ^a,b  

^a CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

^b SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

MARKOV PROCESSES; PATTERN RECOGNITION; STATISTICS;

HIGH LEVEL SEMANTICS; LARGE SCALE DATA SETS; LATENT DIRICHLET ALLOCATION; LEARNING SEMANTICS; MARKOV RANDOM FIELDS; QUANTITATIVE RESULT; SPATIAL AND TEMPORAL COHERENCE; STATE-OF-THE-ART METHODS;

SEMANTICS;

EID: 80052901211     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2011.5995459     Document Type: Conference Paper

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