Human detection and tracking for video surveillance applications in a low-density environment

In this paper, we describe a new way to create an object oriented video surveillance system that monitors activity in a site. The process is performed in two steps: first, detection of human faces as a guess for objects of interest is done and tracking of these entities through a video stream. The guidelines here are not to perform a very accurate detection and tracking, based on the contours for example, but to provide a global image processing system on a simple Personal Computer taking advantage from co-operation of detection and tracking. So the scheme we propose here provides a simple, fast solution that tracks few specific points of interest on the object boundary and possibly engage a motion based detection in order to recover the object of interest in the scene or to detect new object of interest as well. This tracker also enables learning motion activities, detecting unusual activities, and supplying statistical information about motion in a scene.