Perception-prediction-control architecture for IP Pan-Tilt-Zoom camera through Interacting Multiple Models

IP Pan-Tilt-Zoom cameras (IP PTZ) are now common in videosurveillance areas as they are easy to deploy and can take high resolution pictures of targets in a large field of view thanks to their pan-tilt and zoom capabilities. However the closer the view is, the higher is the risk to lose your target. Furthermore, off-the-shelf cameras used in large videosurveillance areas present important motion delays. In this paper, we suggest a new motion control architecture that manages tracking and zoom delays by an Interacting Multiple Models analysis of the target motion, increasing tracking performances and robustness.