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Online multiple object tracking via exchanging object context

文献类型：期刊论文

作者Yu, Hongyang1; Qin, Lei3; Huang, Qingming1,2; Yao, Hongxun1
刊名NEUROCOMPUTING
出版日期2018-05-31
卷号292页码:28-37
关键词Multiple object tracking Tracking-by-detection method Exchanging object context model Online tracking
ISSN号0925-2312
DOI10.1016/j.neucom.2018.02.068
英文摘要Multiple object tracking is a key problem for many computer vision applications such as video surveillance, advanced driver assistance or animation. Most of existing tracking-by-detection methods are mainly based on object appearances and motions. However, the contextual information around the target has not been fully exploited. In this paper, we pay more attention to the contextual information and propose an Exchanging Object Context (EOC) model, which takes full advantage of the context information. Specifically, we implement an efficient and accurate online multiple object tracking algorithm with a novel affinity measure to associate detections. This measure calculates the similarity between targets and detections with the background smoothness after exchanging the contexts between detections and targets, using a novel color histogram descriptor. We refine the bounding boxes by measuring the context changes. Extensive experimental results on two public benchmarks demonstrate the effectiveness of the proposed tracking method with comparisons to several state-of-the-art trackers. (c) 2018 Elsevier B.V. All rights reserved.
资助项目National Natural Science Foundation of China[61620106009] ; National Natural Science Foundation of China[61572465] ; National Natural Science Foundation of China[61390510] ; National Natural Science Foundation of China[61732007] ; National Natural Science Foundation of China[61332016] ; National Natural Science Foundation of China[61472103] ; National Natural Science Foundation of China[61772158] ; National Natural Science Foundation of China[U1711265] ; Key Research Program of Frontier Sciences[CAS: QYZDJ-SSW-SYS013]
WOS研究方向Computer Science
语种英语
WOS记录号WOS:000429321400002
出版者ELSEVIER SCIENCE BV
源URL[http://119.78.100.204/handle/2XEOYT63/5720]  
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Huang, Qingming
作者单位1.Harbin Inst Technol, Sch Comp Sci & Technol, Harbin, Heilongjiang, Peoples R China
2.Univ Chinese Acad Sci, Sch Comp & Control Engn, Beijing, Peoples R China
3.Chinese Acad Sci, Key Lab Intelligent Informat Proc, Inst Comp Technol, Beijing, Peoples R China
推荐引用方式
GB/T 7714		 Yu, Hongyang,Qin, Lei,Huang, Qingming,et al. Online multiple object tracking via exchanging object context[J]. NEUROCOMPUTING,2018,292:28-37.
APA Yu, Hongyang,Qin, Lei,Huang, Qingming,&Yao, Hongxun.(2018).Online multiple object tracking via exchanging object context.NEUROCOMPUTING,292,28-37.
MLA Yu, Hongyang,et al."Online multiple object tracking via exchanging object context".NEUROCOMPUTING 292(2018):28-37.

入库方式： OAI收割

来源：计算技术研究所

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