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

被引：0

作者：

Wang, Shoujia ^{[1
]}

Li, Wenhui ^{[1
]}

You, Tianshu ^{[1
]}

Sun, Mingyu ^{[1
]}

Liu, Yongjian ^{[1
]}

机构：

[1] Jilin Univ, Coll Comp Sci & Technol, Changchun 130012, Peoples R China

来源：

PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON ELECTRONIC & MECHANICAL ENGINEERING AND INFORMATION TECHNOLOGY (EMEIT-2012) | 2012年 / 23卷

关键词：

Meanshift; Kalman filter; body tracking; perturbation insensitivity; self-adaption;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页数：4

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