Video vigilance systems are becoming increasingly important for crime investigation and the number of cameras installed in public space is increasing.Many cameras installed at fixed positions are required to observe a wide and complex area. Detection of suspicious human behavior is of great practical importance. Due to random nature of human movements, decisive classification of suspicious human movements can be very difficult. Defining an approach to the problem of automatically capture people and detecting unusual or suspicious movements in Closed Circuit TV (CCTV) videos is our primary aim.
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