Intelligent Surveillance Systems for Detection and Multi Tracking of Vehicles in Real Time

Given the improvement of digital,s cameras and the system of video,s processing, it have been considering the civil controlling and managing and observation into the traffic. Among this, the computer vision systems have used for creating of some equipments of automatic controlling of traffic. In this article, we have presented the new algorithms by techniques of image processing for an intelligent system of transportation. It can be done some operations of observation into traffic in the real time and by using of a kind of camera, small angle and with the least obtaining information of scene. The applied technique in this study is based on the tracking of optical flow by Horn & Schunck. In order to do this, we selected a part of highway and then obtained the speed for every pixel by using of calculation of derivation of image into the place and time. At last, the system of transit vehicle detected and tracked in the real time and specified the number of those vehicles.

Camera, Image Processing, Optical Flow, Vehicle, Track.