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Memory-Based Attention Control for Activity Recognition at a Subway Station
April-June 2007 (vol. 14 no. 2)
pp. 38-49
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.
Index Terms:
distributed vision, feature extraction, human activity recognition, omnidirectional, support vector machines, video surveillance
Citation:
Karl F. MacDorman, Hiroshi Nobuta, Satoshi Koizumi, Hiroshi Ishiguro, "Memory-Based Attention Control for Activity Recognition at a Subway Station," IEEE Multimedia, vol. 14, no. 2, pp. 38-49, April-June 2007, doi:10.1109/MMUL.2007.39
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