Abstract
This paper presents a vision system for road traffic surveillance from sequences acquired from an unmanned aerial vehicle (UAV). This UAV is able to follow a path considered as the surveillance area and defined by a set of ordered GPS points. During the navigation of the UAV, the vision system acquires sequences which are treated in real time in order to detect vehicles. This detection aflows to perform a traffic estimation or to track a pointed out vehicle. The detection of vehicles is based on the spatiotemporal grouping of primitives formulated as a normalized cuts problem. A verification step based on the Dempster-Shafer theory is also proposed in order to recognize the vehicles.