Dynamic Scene Reconstruction for Efficient Remote Surveillance

In this paper a system is presented able to reproduce the actions of multiple moving objects into a 3D model. A multi-camera surveillance system is used for automatically detect, track and classify the objects. Data fusion from multiple sensors allows to get a more precise estimation of the position of detected moving objects and to solve occlusions problem. These data are then used to automatically place and animate objects avatars in a 3D virtual model of the scene, thus allowing a human operator to remotely visualize the dynamic 3D reconstruction by selecting a arbitrary point of view.