Evaluation of an Intelligent Video Surveillance Model Based on Human Behaviour Detection and Analysis
نویسنده
چکیده
Smart video surveillance has become popular, as it is a high-tech solution for public safety, facilities surveillance, and traffic monitoring. Recently, we proposed and developed an Intelligent Video Surveillance Model Based on Human Behaviour Detection and Analysis (IVSM) by applying a novel algorithm and 3 Dimensional (3D) detection techniques. Hence, in this paper, we are presenting an evaluation based on usability testing, which conducted on the developed model. The results show that our model of intelligent video surveillance fulfills the lack of data in the process of detecting and analyzing human behaviour.
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تاریخ انتشار 2014