A moving body recognition method based on self-adaption weighting meanshift algorithm
Shoujia WANG, Wenhui Li, Tianshu You, Mingyu Sun, Yongjian Liu · 2012
Classic meanshift algorithm is widely used in pattern recognition, but its accuracy decrease large when there is perturbation in background.In this paper, to solve this problem, we put forward an improved meanshift algorithm which is based on self-adaption weighting meanshift algorithm.At first, we catch moving object area.Secondly, we use capture to set new weighting coefficient.Then we track target model by the new coefficient to decrease effect of background.The experiment result of moving body in supervisory control video shows perturbation insensitivity, robustness and stability.