Based On The Features Of Vedio Object Detection And Tracking

The sequence image tracking is an extremely important problem in the field of computer vision. The optical flow methods have been put into a better application in detection and tracking of moving objects for sequence image. But the methods have the following faults:heavy computational burden and weak anti-noise ability. Furthermore, it can not track the moving objects with high speed. The feature-optical-flow method has the better solutions for the faults.The thesis in the basis of the researches about object detection and tracking’s mainstream algorithm, proposed some effective solutions on the effectiveness and accuracy of the detection and tracking. The main research results are as follows:Through the contrast of the mainly object detection method:frame subtraction method, background subtraction method and optic flow method. And in this foundation, proposed a new kind of optical flow object detection method based on the moving object’s corner feature.Research and experiment the current two widely used and goof effective kind tracking method, MeanShift algorithm and CamShift algorithm. And give a new tracking method based on the feature. To avoid the defect of the CamShift algorithm.Based on the object detection and tracking algorithm, design and implementation a target tracking of moving target detection and tracking system.