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A tracking method with structural local mean and local standard deviation appearance model
Yang DW(杨大为); Cong Y(丛杨); Tang YD(唐延东); Li, Yulian
作者部门机器人学研究室
会议名称全国模式识别学术会议(6th Chinese Conference on Pattern Recognition)
会议日期2014年11月17-19
会议地点湖南长沙
会议录名称Communications in Computer and Information Science
出版者Springer Verlag
出版地Berlin
2014
页码355-362
收录类别EI ; CPCI(ISTP)
EI收录号20145000310020
WOS记录号WOS:000368491600036
产权排序1
ISSN号1865-0929
ISBN号978-3-662-45645-3
关键词Object Tracking Local Mean Local Standard Deviation Structural Appearance Model The Native Bayesian
摘要

Aiming at the problem of illumination variation and partial occlusion in the object tracking, a structural local mean and local standard deviation appearance model is proposed. The object image is divided into some blocks. In each block, the local mean and local standard deviation are calculated, then, a feature vector is composed. In order to weaken the effect of the partial occlusion, an adaptive weighted value is set to each feature component. The Native Bayesian theory is applied to track the object in affine transform space. The experimental results demonstrate that the proposed tracking method performs favorably against several state-of-the-art methods.

语种英语
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文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/15407
专题机器人学研究室
通讯作者Tang YD(唐延东)
作者单位1.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China
2.University of Chinese Academy of Science, Beijing, China
3.Shenyang Metrology Testing Institution, Shenyang, China
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GB/T 7714
Yang DW,Cong Y,Tang YD,et al. A tracking method with structural local mean and local standard deviation appearance model[C]. Berlin:Springer Verlag,2014:355-362.
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