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DESIGN OF A DISTRIBUTED CAMERA NETWORK TRACKING SYSTEM FOR ASSISTED LIVING AT HOME

Tracking systems are useful for many medical applications and in particular for assisted living at home. One of the goals of this work is to design a tracking system based on camera networks to monitor elderly people in order to provide security and automated emergency response to allow them to live at home in safety. In this application it is especially important to have a robust and reliable system and to conserve the privacy of the user. That is why, the considered tracking algorithms deals with privacy and security issues by performing local processing and by distributing the information. To make the system reliable and robust, it is necessary to consider and understand occlusion issues. This report presents a classification and analysis of the different types of occlusion, and the transitions between them. These transitions are the basis for an algorithm to find the location of the occluding objects, and are used in a tracking algorithm to interpolate regions that are occluded to camera views.