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Memory-Based Attention Control for Activity Recognition at a Subway Station

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4 Author(s)

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

Published in:

MultiMedia, IEEE  (Volume:14 ,  Issue: 2 )