Using individuality to track individuals: Clustering individual trajectories in crowds using local appearance and frequency trait

Proceedings of the IEEE International Conference on Computer Vision

Volumn , Issue , 2009, Pages 1467-1474

  Sugimura, Daisuke ^a   Kitani, Kris M ^b   Okabe, Takahiro ^a   Sato, Yoichi ^a   Sugimoto, Akihiro ^c  

^a UNIVERSITY OF TOKYO   (Japan)

^b UNIVERSITY OF ELECTRO COMMUNICATIONS   (Japan)

^c NATIONAL INSTITUTE OF INFORMATICS   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

CLOSE PROXIMITY; CLUSTERING APPROACH; FREQUENCY DOMAINS; GAIT FEATURES; IMAGE FEATURES; MULTIPLE PEOPLE; PERFORMANCE IMPROVEMENTS; TEMPORAL CONSISTENCY; TRACKING METHOD; TRAJECTORY-BASED;

BIOMETRICS; COMPUTER VISION; FACE RECOGNITION; GAIT ANALYSIS; TIME DOMAIN ANALYSIS; TRAJECTORIES;

TARGET TRACKING;

EID: 77953178519     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2009.5459286     Document Type: Conference Paper

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