Vehicles Will Block The Detection Of The Research And Application

It is the most important part to extract moving vehicles in application of intelligent transportation field, which is the basis and guarantee to obtain traffic information. But the vehicle occlusion occurred during detection seriously affect the vehicle's statistics. In order to get the moving vehicle detection, vehicle occlusion detection is as an essential link.In vehicles detection of high-definition images, first of all, this article study on the image pre-processed method, and remove interference region to reduce calculated quantities by setting regions of interest. Then compare the advantages and disadvantages of various algorithms after the study of various existing detection algorithms. And put forward a method for prospect detection. Using this algorithm, you can extract vehicles fast and accurately from high definition images and achieve a more accurate contour extraction on the basis of prospect detection, which lay a good foundation for the next vehicle occlusion detection.The main work in this thesis is as follows:(1) Image acquisition and preprocessing: the received of camera, image acquisition, image preprocessing, compare of edge detection algorithms, the chosen of a good edge detection algorithm to extract the edge of vehicles.(2) Prospect detection: propose a method for prospect detection in high-definition image which is ideal both in time and effect, it can solve the empty and chasm caused by the existing background modeling algorithms background modeling algorithm.(3) Vehicle occlusion: use the convex hull to decide whether occlusion occurred or not in partial occlusion on the basis of prospect detection, and divide occlusion vehicles by the difference of convex hull. For serious occlusion, vehicle information is incomplete, we obtain vehicle comers by calculation, and calculate the optical flow of comer points to determine the occurrence of occlusion, then according to the same motion vector, handle vehicle occlusion by dividing the region of comer.(4) Software system: according to the previous algorithm, design the entire process of vehicle occlusion detection. Design every module, the algorithm's process and specific method of implementation, which can reflect a more intuitive algorithm result.We continuously improve this algorithm by testing a large number of high-definition images and comparing the effect of variety of algorithms. Final results show that the new prospect detection algorithm has the virtue of less computation and good effect. Occlusion detection algorithm can detect and deal with vehicle occlusion quickly and effectively.