微型机与应用2011，Vol.30Issue(24)：28-31,4.
基于Camshift和Kalman滤波的自动跟踪算法
An effective automatic tracking algorithm based on Camshift and Kalman filter
梁娟 1项俊 1侯建华1
作者信息
- 1. 中南民族大学电子信息工程学院,湖北武汉430074
- 折叠
摘要
Abstract
An automatic tracking algorithm based on Camshift and Kalman filter is proposed in this paper to deal with the problems in traditional Camshift algorithm, such as artificial orientation and tracking failure under color interference or occlusion. The inter-frame difference and canny edge detection are combined to segment perfect moving object region accurately. Then, the initial search window for Camshift tracking algorithm is initialized by the extraction of the moving object and the moving object automatic tracking is realized. With regard to tracking under color interference or severe occlusion, an improved algorithm combined Kalman filter and Camshift is used to track the object. The experiment results demonstrate that the proposed algorithm can track the target object accurately and has better robustness to color noises and occlusion.关键词
目标跟踪/Camshift算法/Kalman滤波/帧间差分法/Canny边缘检测Key words
object tracking/Camshift algorithm/Kalman filter/inter-frame difference/Canny edge detection分类
信息技术与安全科学引用本文复制引用
梁娟,项俊,侯建华..基于Camshift和Kalman滤波的自动跟踪算法[J].微型机与应用,2011,30(24):28-31,4.
