a generalized mean shift tracking algorithm | |
Chen JianJun ; Zhang SuoFei ; An GuoCheng ; Wu ZhenYang | |
刊名 | SCIENCE CHINA-INFORMATION SCIENCES |
2011 | |
卷号 | 54期号:11页码:2373-2385 |
关键词 | 计算机系统应用 稿约 |
ISSN号 | 1674-733X |
中文摘要 | ~~ |
英文摘要 | CAMSHIFT algorithm and Comaniciu/Meer algorithm are two fundamental frameworks of mean shift procedure for video target tracking. This paper generalizes the two well-known mean shift tracking algorithms, originally due to Bradski and Comaniciu/Meer. A new general similarity function which defines the distance between the target model and target candidate is employed to calculate the pixel weights and the target location. The target size is iteratively estimated and updated based on the zeroth order moment of the pixel weights. Then we prove that both the CAMSHIFT algorithm and the Comaniciu/Meer algorithm can be included in the generalized mean shift tracking framework. The tracking performances of three mean shift algorithms in the unified framework are shown and compared in the experimental results. |
学科主题 | Computer Science |
收录类别 | SCI ; CNKI |
资助信息 | Open Research Foundation of Key Laboratory of Underwater Acoustic Signal Processing of Ministry of EducationUASP1004; National Natural Science Foundation of China60672094; National Basic Research Program of China2009CB320804; China Postdoctoral Science Foundation20100470588 |
语种 | 英语 |
WOS记录号 | WOS:000297709100013 |
公开日期 | 2013-10-08 |
内容类型 | 期刊论文 |
源URL | [http://ir.iscas.ac.cn/handle/311060/16141] |
专题 | 软件研究所_软件所图书馆_期刊论文 |
推荐引用方式 GB/T 7714 | Chen JianJun,Zhang SuoFei,An GuoCheng,et al. a generalized mean shift tracking algorithm[J]. SCIENCE CHINA-INFORMATION SCIENCES,2011,54(11):2373-2385. |
APA | Chen JianJun,Zhang SuoFei,An GuoCheng,&Wu ZhenYang.(2011).a generalized mean shift tracking algorithm.SCIENCE CHINA-INFORMATION SCIENCES,54(11),2373-2385. |
MLA | Chen JianJun,et al."a generalized mean shift tracking algorithm".SCIENCE CHINA-INFORMATION SCIENCES 54.11(2011):2373-2385. |
个性服务 |
查看访问统计 |
相关权益政策 |
暂无数据 |
收藏/分享 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论