Context Modeling for Multi-Camera Video Surveillance

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We propose an object detection framework especially for wide-area visual surveillance system. Existing methods usually make use of features which target objects usually have in common. However, those common features are sometimes insufficient for robust detection. Therefore, in this project, we model contextual information which isparticularly associated with a certain location. This enables us to detect targetsrobustly and efficiently.