A moving body recognition method based on self-adaption weighting meanshift algorithm

摘要：

　　Classic meanshift algorithm is widely usedin pattem recognition,but its accuracy decrease large when there is perturbation in background.In thispaper,to solve this poblem,we put forward an improved meanshift algorithm which is based o n 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 c ontrol video shows perturbation insensitivity,robustness and stability.

关键词： Meanshift Kalman filter body tracking perturbation insensitivity self-adaption

作者: Shoujia WANG Wenhui LI Tianshu YOU Mingyu SUN Yongjian Liu

作者单位: College of Computer Science and Technology,Jilin University,Changchun,China 130012

会议类型: 国际会议

会议名称: the 2nd International Conference on Electronic & Mechanical Engineering and Information Technology (EMEIT-2012)(2012年电机工程与信息技术国际会议)

会议地点: 沈阳

会议语种:英文

页码: 1936-1939

在线出版日期: 2012-09-26（万方平台首次上网日期，不代表论文的发表时间）