Geometrical Method for Video-based Detecting Position Violations of Vehicles
Occlusion and 3-D information lost widely exists in visual traffic surveillance system. By using a novel approximate 3-D rectangular vehicle model, this paper analyzes the situation of self occlusion and mutual occlusion, proposes the rules of occlusion resolvability. Assuming that the vehicle's bottom and the road marks were coplanar on the road plane, by analyzing the positional relativity of vehicle's bottom edges and the road marks, this paper gains two detecting criterions, and proposes an algorithm for detecting position violations. Experimental results show that, by preferably approximating the bottom of the vehicle, the geometrical model can resolve the influence of occlusions; the presented detecting method is better than the centroid method and the area method.