Video surveillance: Analyzing people's movements in a closed environment

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 KMeans technique in cases of similarity measures between trajectories. © 2014 Praise Worthy Prize S.r.l. - All rights reserved.