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Creation of database for detection of unusual behaviour in surveillance videos

We propose a database schema for testing video-analytics algorithms and describe acquisition of the actual videos recorded for testing purposes. The recorded scenarios involve various kinds of behaviors that can be related to suspicious actions of human subjects. The work in progress involves automated segmentation of surveillance videos and optimization of database performance for real-time acquisition.