Key Technology Research In Target Tracking

Along with the wide application of computer vision in various fields,the research of target recognition and tracking has very important theoretical value and practical significance.Each researcher is trying to improve the accuracy,real-time and robustness of target tracking,the reliable target tracking algorithm can get reliable target information,and then lay a good foundation for the subsequent environmental monitoring,scene analysis.This paper studies the method of basic moving target detection,the main target detection method.Using the advantage of superpixel to replace the single pixel for Camshift tracking,Camshift tracking method based on the superpixel is proposed in this paper.Compared with the basic superpixel target tracking algorithm,the algorithm is improved in real time.Then in order to solve the influence of light background on tracking accuracy,an improved template matching tracking method is proposed in this paper.The method of this paper as a result of template matching twice,the stability and accuracy of the tracking target are improved.In order to establish the accurate model,and accurately track the target,this paper puts forward an improved template matching tracking strategy,which decomposes the target into multiple sub-targets which are localized by template matching algorithm separately.Distance correlation matrices are constructed by the sub-target sets in the target image and the tracking image.The correctness of the localization results can be evaluated by the distance correlation matrices.The positions of the sub-targets localized wrongly can be corrected by resolving the optimization function constructed according to the relative positions among the sub-targets.The results of the simulation experiments show that the three methods proposed in this paper can effectively improve the accuracy of the target model and achieve the stable tracking of the moving target.