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A Robust Tracking System for Low Frame Rate Video
Zhang, Xiaoqin1; Hu, Weiming2; Xie, Nianhua2; Bao, Hujun3; Maybank, Stephen4
2015-12-01
发表期刊INTERNATIONAL JOURNAL OF COMPUTER VISION
卷号115期号:3页码:279-304
文章类型Article
摘要Tracking in low frame rate (LFR) videos is one of the most important problems in the tracking literature. Most existing approaches treat LFR video tracking as an abrupt motion tracking problem. However, in LFR video tracking applications, LFR not only causes abrupt motions, but also large appearance changes of objects because the objects' poses and the illumination may undergo large changes from one frame to the next. This adds extra difficulties to LFR video tracking. In this paper, we propose a robust and general tracking system for LFR videos. The tracking system consists of four major parts: dominant color-spatial based object representation, bin-ratio based similarity measure, annealed particle swarm optimization (PSO) based searching, and an integral image based parameter calculation. The first two parts are combined to provide a good solution to the appearance changes, and the abrupt motion is effectively captured by the annealed PSO based searching. Moreover, an integral image of model parameters is constructed, which provides a look-up table for parameters calculation. This greatly reduces the computational load. Experimental results demonstrate that the proposed tracking system can effectively tackle the difficulties caused by LFR.
关键词Low Frame Rate Tracking Dominant Color Bin-ratio Matching Metric Particle Swarm Optimization
WOS标题词Science & Technology ; Technology
DOI10.1007/s11263-015-0819-8
关键词[WOS]VISUAL TRACKING ; PARTICLE FILTERS ; OBJECT TRACKING ; MODELS ; RECOGNITION
收录类别SCI
语种英语
WOS研究方向Computer Science
WOS类目Computer Science, Artificial Intelligence
WOS记录号WOS:000365089800003
引用统计
被引频次:12[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/10511
专题模式识别国家重点实验室_视频内容安全
作者单位1.Wenzhou Univ, Inst Intelligent Syst & Decis, Hangzhou, Zhejiang, Peoples R China
2.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing, Peoples R China
3.Zhejiang Univ, Dept Comp Sci, Hangzhou, Zhejiang, Peoples R China
4.Birkbeck Coll, Dept Comp Sci & Informat Syst, London, England
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Zhang, Xiaoqin,Hu, Weiming,Xie, Nianhua,et al. A Robust Tracking System for Low Frame Rate Video[J]. INTERNATIONAL JOURNAL OF COMPUTER VISION,2015,115(3):279-304.
APA Zhang, Xiaoqin,Hu, Weiming,Xie, Nianhua,Bao, Hujun,&Maybank, Stephen.(2015).A Robust Tracking System for Low Frame Rate Video.INTERNATIONAL JOURNAL OF COMPUTER VISION,115(3),279-304.
MLA Zhang, Xiaoqin,et al."A Robust Tracking System for Low Frame Rate Video".INTERNATIONAL JOURNAL OF COMPUTER VISION 115.3(2015):279-304.
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