Research On Wheel Detection And Tracking Based On Video Image

Wheel image detection and tracking has important application value in the security,intelligent transportation and other fields,this paper studies deeply the wheel detection and tracking based on video image.This paper first studies the wheel detection.The Hough transform method can suppress the image noise very well.Therefore,Hough transform is the basis of wheel detection algorithm.But the main existing problems of Hough transform which based on the discrete edge point are long time consuming,big memory occupancy and so on.Since the arc contains more complete and accurate geometric information than the discrete edge points,it is possible to exclude interference from other extraneous edge points.Therefore,this paper proposes the idea of replacing the discrete edge points with the arc segment as the wheel detection data.In order to eliminate the influence of the noise and the isolated point of the image,correctly extract arc needed,this paper presents a simple and efficient method for extracting arc from wheel contours.Beacause arc extracted is generally part boundary of wheel contours,so in order to further improve the efficiency of the algorithm,this paper has designed arc grouping algorithm.Then,based on the edge points included in the arc group,the Hough transform method is used to detect the wheel and the detection results are screened according to the reliability index and the similarity index.Finally,with the designed wheel detection algorithm,experiments have carried out on the real images.The experimental results show that the algorithm has good accuracy and robustness.After the specific position of the wheel is detected,in order to realize the understanding of the behavior of the moving wheel,this paper has conducted in-depth study of the wheel tracking.Aiming at the practical application environment,this paper chooses Kernelized Correlation Filter tracking algorithm to track the wheel,and the Kernelized Correlation Filter has been improved.Then,the whole tracking process is designed according to the three states of the wheel tracking process.Finally,the experimental results show that the algorithm can detect and track the moving wheel in the real application environment in real time.