Issue No. 02 - April-June (2007 vol. 14)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MMUL.2007.39
Karl F. MacDorman , Indiana University
Hiroshi Nobuta , Wakayama University
Satoshi Koizumi , Advanced Telecommunications Research Institute
Hiroshi Ishiguro , Osaka University
The authors discuss Digital City Surveillance, their multicamera system that uses a new calibration-free behavior recognition method for monitoring human activity at a subway station.
distributed vision, feature extraction, human activity recognition, omnidirectional, support vector machines, video surveillance
H. Nobuta, K. F. MacDorman, H. Ishiguro and S. Koizumi, "Memory-Based Attention Control for Activity Recognition at a Subway Station," in IEEE MultiMedia, vol. 14, no. , pp. 38-49, 2007.