Motion estimation and tracking for urban traffic monitoring
F. Bartolini, Vito Cappellini, Cinzia Giani · 2002
The use of traffic monitoring techniques based on image processing algorithms for supervising urban vehicle flows could be very useful. Classical inductive loops can only compute traffic density on a single lane but are unable to estimate, for example, the behaviour of the vehicle flow at a crossroad. In this paper a system that estimates the turning rates at an urban crossroad by processing the sequence of images taken by a videocamera is presented. Block matching motion estimation, segmentation, and moving object tracking techniques are used. The good results obtained are presented and their relation to the camera position is discussed.