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Object tracking across non-overlapping views by learning inter-camera transfer models
Chen, Xiaotang; Huang, Kaiqi; Tan, Tieniu
发表期刊PATTERN RECOGNITION
2014-03-01
卷号47期号:3页码:1126-1137
文章类型Article
摘要In this paper, we introduce a novel algorithm to solve the problem of object tracking across multiple non-overlapping cameras by learning inter-camera transfer models. The transfer models are divided into two parts according to different kinds of cues, i.e. spatio-temporal cues and appearance cues. To learn spatio-temporal transfer models across cameras, an unsupervised topology recovering approach based on N-neighbor accumulated cross-correlations is proposed, which estimates the topology of a non-overlapping multi-camera network. Different from previous methods, the proposed topology recovering method can deal with large amounts of data without considering the size of time window. To learn inter-camera appearance transfer models, a color transfer method is used to model the changes of color characteristics across cameras, which has an advantage of low requirements to training samples, making update efficient when illumination conditions change. The experiments are performed on different datasets. Experimental results demonstrate the effectiveness of the proposed algorithm. (C) 2013 Elsevier Ltd. All rights reserved.
关键词Object Tracking Transfer Models Color Transfer Camera Network Non-overlapping Views
WOS标题词Science & Technology ; Technology
关键词[WOS]NETWORK TOPOLOGY ; COLOR CONSTANCY ; IMAGES
收录类别SCI
语种英语
WOS研究方向Computer Science ; Engineering
WOS类目Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS记录号WOS:000329888800020
引用统计
被引频次:22[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/173211/3818
专题智能感知与计算研究中心
作者单位Chinese Acad Sci, Ctr Res Intelligent Percept & Comp, Inst Automat, Natl Lab Pattern Recognit, Beijing, Peoples R China
第一作者单位模式识别国家重点实验室
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GB/T 7714
Chen, Xiaotang,Huang, Kaiqi,Tan, Tieniu. Object tracking across non-overlapping views by learning inter-camera transfer models[J]. PATTERN RECOGNITION,2014,47(3):1126-1137.
APA Chen, Xiaotang,Huang, Kaiqi,&Tan, Tieniu.(2014).Object tracking across non-overlapping views by learning inter-camera transfer models.PATTERN RECOGNITION,47(3),1126-1137.
MLA Chen, Xiaotang,et al."Object tracking across non-overlapping views by learning inter-camera transfer models".PATTERN RECOGNITION 47.3(2014):1126-1137.
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