Single/cross-camera multiple-person tracking by graph matching

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	Single/cross-camera multiple-person tracking by graph matching
	Nie, Weizhi ; Liu, Anan ; Su, Yuting ; Luan, Huanbo ; Yang, Zhaoxuan ; Cao, Liujuan ; Ji, Rongrong ; Ji RR(纪荣嵘)
刊名	http://dx.doi.org/10.1016/j.neucom.2014.02.040
	2014-09-02
关键词	3-D OBJECT RETRIEVAL FRAMEWORK SEARCH
英文摘要	National Natural Science Foundation of China [61100124, 21106095, 61170239, 61202168]; Elite Scholar Program of Tianjin University; Single and cross-camera multiple person tracking in unconstrained condition is an extremely challenging task in computer vision. Facing the main difficulties caused by the existence of occlusion in single-camera scenario and the occurrence of transition in cross-camera scenario, we propose a unified framework formulated in graph matching with affinity constraints for both single and cross-camera tracking tasks. To our knowledge, our work is the first to unify two kinds of tracking problems with the same framework by graph matching. The proposed method consists of two steps, tracklet generation and tracklet association. First, we implement the modified part-based human detector and the Tracking-Modeling-Detection (TMD) method for tracklet generation. Then we propose to associate tracklets by graph matching which is mathematically formulated into the Rayleigh Quotients Maximization. The comparison experiments show that the proposed method can produce the competing results with the state-of-the-art methods. (C) 2014 Elsevier B.V. All rights reserved.
语种	英语
出版者	ELSEVIER SCIENCE BV
内容类型	期刊论文
源URL	[http://dspace.xmu.edu.cn/handle/2288/92660]
专题	信息技术－已发表论文
推荐引用方式 GB/T 7714	Nie, Weizhi,Liu, Anan,Su, Yuting,et al. Single/cross-camera multiple-person tracking by graph matching[J]. http://dx.doi.org/10.1016/j.neucom.2014.02.040,2014.
APA	Nie, Weizhi.,Liu, Anan.,Su, Yuting.,Luan, Huanbo.,Yang, Zhaoxuan.,...&纪荣嵘.(2014).Single/cross-camera multiple-person tracking by graph matching.http://dx.doi.org/10.1016/j.neucom.2014.02.040.
MLA	Nie, Weizhi,et al."Single/cross-camera multiple-person tracking by graph matching".http://dx.doi.org/10.1016/j.neucom.2014.02.040 (2014).