Memory-Based Attention Control for Activity Recognition at a Subway Station
Memory-Based Attention Control for Activity Recognition at a Subway Station
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DOI：
10.1109/mmul.2007.39
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发表时间：
2007-04
期刊：
影响因子：
3.2
通讯作者：
K. Macdorman;Hiroshi Nobuta;S. Koizumi;H. Ishiguro
中科院分区：
文献类型：
--
作者：
K. Macdorman;Hiroshi Nobuta;S. Koizumi;H. Ishiguro
We have developed a multicamera system, Digital City Surveillance, which uses a new calibration-free behavior recognition method for monitoring human activity at a subway station. We trained nine support vector machines from operator-classified data to recognize 512 combinations of events. Our method of attention control greatly reduced computation and increased classification accuracy
