Video Surveillance: Analyzing People’s Movements in a Closed Environment
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In this paper, we developed a method for tracking multiple people in a closed environment based on the feed of a surveillance camera. Monitoring the evolution of the position of people in real time has enabled us to get information on areas occupied by each person in a scene. In addition, to consolidate the trajectories obtained in homogeneous classes, we proposed a new algorithm which allows to adapt the hierarchical classification technique (CHA) and the K-Means technique in cases of similarity measures between trajectories
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