Abstract
Many works of conventional surveillance are focused on people tracking,behavior or event detection,gait or face based recognition,etc.However,role identification is also very important but usually paid less attention.In video surveillance,video analysis and video data mining,it is better for us to treat detected or tracked people with different strategies considering their roles.This paper proposes a multi-camera system to identify people with specific roles using a causal network.Not only visual features but also spatio-temporal features,and some object specific features are involved in the new system.Multiple cameras benefit locating the position of moving objects and overcoming occlusions.Experimental results demonstrate the effectiveness of the method.
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