Multi-Object Tracking With Spatial-Temporal Topology-Based Detector

doi:10.1109/TCSVT.2021.3096237

	Multi-Object Tracking With Spatial-Temporal Topology-Based Detector
	You, Sisi 1; Yao, Hantao2 ; Xu, Changsheng2,3
发表期刊	IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
ISSN	1051-8215
	2022-05-01
卷号	32 期号:5 页码:3023-3035
通讯作者	Xu, Changsheng(csxu@nlpr.ia.ac.cn)
摘要	Multi-object tracking is a challenging task due to the occlusion of different targets. Existing methods focus on inferring a robust and discriminative feature for data association based on the targets generated by the existing detector. Unlike existing methods that consider each target independently during generating the trajectories, we propose a novel Spatial-Temporal Topology-based Detector (STTD) algorithm that treats the target and its nearest neighbors as a cluster and introduces a topology structure to describe the dynamics of moving targets belonging to the same cluster. With the public detections and the tracked objects in the previous frame, STTD firstly refines them by regression of detector to obtain the candidate proposals in the current frame. After that, the temporal topology constraint is proposed to recover the missed objects by considering the continuity and consistency of the topological structure. Based on the assumption that the targets belonging to the same topology should have a consistent characteristic, the spatial topology constraint is proposed to remove the inaccurate targets. Then we can obtain new candidate objects and construct the cost matrix used for data association. The evaluations on three MOTChallenge benchmarks verify the effectiveness of the proposed method.
关键词	Target tracking Topology Tracking Detectors Visualization Trajectory Proposals Multi-object tracking spatial-temporal topology-based detector spatial topology constraint temporal topology constraint
DOI	10.1109/TCSVT.2021.3096237
关键词[WOS]	ASSOCIATION ; MODEL
收录类别	SCI
语种	英语
资助项目	National Key Research and Development Program of China[2018AAA0102200] ; National Natural Science Foundation of China[61902399] ; National Natural Science Foundation of China[61721004] ; National Natural Science Foundation of China[U1836220] ; National Natural Science Foundation of China[U1705262] ; National Natural Science Foundation of China[61832002] ; National Natural Science Foundation of China[61720106006] ; National Natural Science Foundation of China[62072286] ; Beijing Natural Science Foundation[L201001] ; Key Research Program of Frontier Sciences, Chinese Academy of Sciences (CAS)[QYZDJ-SSW-JSC039]
项目资助者	National Key Research and Development Program of China ; National Natural Science Foundation of China ; Beijing Natural Science Foundation ; Key Research Program of Frontier Sciences, Chinese Academy of Sciences (CAS)
WOS研究方向	Engineering
WOS类目	Engineering, Electrical & Electronic
WOS记录号	WOS:000790830300044
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
七大方向——子方向分类	目标检测、跟踪与识别
引用统计	被引频次：9[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/173211/48450
专题	多模态人工智能系统全国重点实验室_多媒体计算
通讯作者	Xu, Changsheng
作者单位	1.Hefei Univ Technol, Sch Comp Sci & Informat Engn, Hefei 230009, Peoples R China 2.Chinese Acad Sci, Natl Lab Pattern Recognit, Inst Automat, Beijing 100190, Peoples R China 3.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China
通讯作者单位	模式识别国家重点实验室
推荐引用方式 GB/T 7714	You, Sisi,Yao, Hantao,Xu, Changsheng. Multi-Object Tracking With Spatial-Temporal Topology-Based Detector[J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY,2022,32(5):3023-3035.
APA	You, Sisi,Yao, Hantao,&Xu, Changsheng.(2022).Multi-Object Tracking With Spatial-Temporal Topology-Based Detector.IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY,32(5),3023-3035.
MLA	You, Sisi,et al."Multi-Object Tracking With Spatial-Temporal Topology-Based Detector".IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY 32.5(2022):3023-3035.