Innovative experimental project design of Mean Shift tracking algorithm
Video tracking algorithm is a more concerned experimental project in computer vision prac-tical courses.Aiming at the problem that the traditional Mean Shift tracking algorithm cannot track ac-curately in real time under sudden changes,an innovative experimental project of Mean Shift tracking algorithm based on template update and linear estimation is designed.Under the template update strat-egy,the background template is introduced,and the interference factors are determined by comparing the original target template and the background template with the set threshold.When the interference factors determining the target is covered,the linear predictive equation is introduced to predict the tar-get position,so as to solve the problem of target tracking loss under occlusion.Through comparative a-nalysis of the tracking effect and performance of the test video,it is verified that the algorithm has bet-ter anti-interference ability than the traditional algorithm in the case of sudden changes.With algo-rithmic innovation design as the core,the closed-loop experimental process of open innovation pro-jects,including topic selection,design,defense and feedback,has effectively enhanced students' ca-pabilities in algorithmic innovation design.
Mean Shifttemplate updatelinear predictionanti-interference
万方数据
维普
