Tracking multiple individuals for video communication

We propose a new interpretation platform dedicated to video communication. Basically, a video communication system takes an image flow from a camera and broadcasts it in a computer network. The goal of interpretation is to enable the video communication system to adapt automatically the broadcasted image flow, using image filtering, blurring and zooming. For that we need to detect and track individuals in office scenes, then to understand their behaviour. We focus on a new tracking method based on a 3D model of the scene, on explicit models of individuals and on the computation of several possible paths for each individual. The main issues of the tracking algorithm are presented. Finally we show the results of our algorithm for several sequences illustrating office activities in everyday situations.