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题名: Mean-Shift Tracking Algorithm Based on Adaptive Fusion of Multi-feature
作者: Yang K(杨凯); Xiao YH(肖阳辉); Wang ED(王恩德); Feng JH(冯俊惠)
作者部门: 光电信息技术研究室
会议名称: Conference on Applied Optics and Photonics (AOPC) - Image Processing and Analysis
会议日期: MAY 05-07, 2015
会议地点: Beijing
会议主办者: Chinese Soc Opt Engn, Chinese Soc Astronaut, Photoelectron Technol Comm, Sci & Technol Low Light Level Night Vis Lab, SPIE, Opt Soc, European Opt Soc, Opt Soc Korea
会议录: Proceedings of SPIE
会议录出版者: SPIE-INT SOC OPTICAL ENGINEERING
会议录出版地: BELLINGHAM, WA
出版日期: 2015
页码: 1-6
收录类别: EI ; CPCI(ISTP)
ISSN号: 0277-786X
ISBN号: 978-1-62841-900-9
关键词: mean-shift ; multi-feature fusion ; affine illumination model ; histogram of corner feature
摘要: The classic mean-shift tracking algorithm has achieved success in the field of computer vision because of its speediness and efficiency. However, classic mean-shift tracking algorithm would fail to track in some complicated conditions such as some parts of the target are occluded, little color difference between the target and background exists, or sudden change of illumination and so on. In order to solve the problems, an improved algorithm is proposed based on the mean-shift tracking algorithm and adaptive fusion of features. Color, edges and corners of the target are used to describe the target in the feature space, and a method for measuring the discrimination of various features is presented to make feature selection adaptive. Then the improved mean-shift tracking algorithm is introduced based on the fusion of various features. For the purpose of solving the problem that mean-shift tracking algorithm with the single color feature is vulnerable to sudden change of illumination, we eliminate the effects by the fusion of affine illumination model and color feature space which ensures the correctness and stability of target tracking in that condition. Using a group of videos to test the proposed algorithm, the results show that the tracking correctness and stability of this algorithm are better than the mean-shift tracking algorithm with single feature space. Furthermore the proposed algorithm is more robust than the classic algorithm in the conditions of occlusion, target similar with background or illumination change.
语种: 英语
产权排序: 1
WOS记录号: WOS:000363280200057
Citation statistics:
内容类型: 会议论文
URI标识: http://ir.sia.cn/handle/173321/17203
Appears in Collections:光电信息技术研究室_会议论文

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Recommended Citation:
Yang K,Xiao YH,Wang ED,et al. Mean-Shift Tracking Algorithm Based on Adaptive Fusion of Multi-feature[C]. 见:Conference on Applied Optics and Photonics (AOPC) - Image Processing and Analysis. Beijing. MAY 05-07, 2015.
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