Understanding collective crowd behaviors: Learning a Mixture model of Dynamic pedestrian-Agents

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

Volumn , Issue , 2012, Pages 2871-2878

  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

AGENT-BASED MODELING; CENTRAL STATIONS; COLLECTIVE BEHAVIOR; CROWD BEHAVIOR; DATA SETS; LINEAR DYNAMIC SYSTEM; MIXTURE MODEL; NEW YORK; PEDESTRIAN BEHAVIOR; QUANTITATIVE EXPERIMENTS; VIDEO SURVEILLANCE;

COMPUTER VISION; LINEAR CONTROL SYSTEMS; MIXTURES; SECURITY SYSTEMS;

BEHAVIORAL RESEARCH;

EID: 84866645335     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2012.6248013     Document Type: Conference Paper

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