Image Understanding for Prevention of Vandalism in Metro Stations
We address here the issues of developing an interpretation system describing automatically human activities from image sequences. The class of applications we are interested in, is the automatic surveillance and monitoring of metro stations scenes observed by a monocular camera. Given image sequences, an interpretation system has to recognize scenarios relative to the behaviours of mobile objects detected in the scene. In our case, the mobile objects correspond to humans and the scenarios describe human activities.
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