CASIA OpenIR  > 模式识别国家重点实验室  > 生物识别与安全技术研究
Multi-Camera Multi-Target Tracking with Space-Time-View Hyper-graph
Wen, Longyin1; Lei, Zhen2; Chang, Ming-Ching3; Qi, Honggang4; Lyu, Siwei1
Source PublicationINTERNATIONAL JOURNAL OF COMPUTER VISION
2017-04-01
Volume122Issue:2Pages:313-333
SubtypeArticle
AbstractIncorporating multiple cameras is an effective solution to improve the performance and robustness of multi-target tracking to occlusion and appearance ambiguities. In this paper, we propose a new multi-camera multi-target tracking method based on a space-time-view hyper-graph that encodes higher-order constraints (i.e., beyond pairwise relations) on 3D geometry, appearance, motion continuity, and trajectory smoothness among 2D tracklets within and across different camera views. We solve tracking in each single view and reconstruction of tracked trajectories in 3D environment simultaneously by formulating the problem as an efficient search of dense sub-hypergraphs on the space-time-view hyper-graph using a sampling based approach. Experimental results on the PETS 2009 dataset and MOTChallenge 2015 3D benchmark demonstrate that our method performs favorably against the state-of-the-art methods in both single-camera and multi-camera multi-target tracking, while achieving close to real-time running efficiency. We also provide experimental analysis of the influence of various aspects of our method to the final tracking performance.
KeywordMulti-camera Multi-target Tracking Single-camera Multi-target Tracking Space-time-view Hyper-graph Dense Sub-hypergraph Search
WOS HeadingsScience & Technology ; Technology
DOI10.1007/s11263-016-0943-0
WOS KeywordMULTIPERSON TRACKING ; ALGORITHM ; TARGETS ; PEOPLE
Indexed BySCI
Language英语
Funding OrganizationUS National Science Foundation Research Grant(CCF-1319800) ; National Key Research and Development Plan(2016 YFC0801002) ; Chinese National Natural Science Foundation(61375037 ; National Nature Science Foundation of China(61472388) ; 61473291)
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence
WOS IDWOS:000398162200008
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/15082
Collection模式识别国家重点实验室_生物识别与安全技术研究
Affiliation1.SUNY Albany, Dept Comp Sci, Albany, NY 12222 USA
2.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing, Peoples R China
3.SUNY Albany, Dept Comp Engn, Albany, NY 12222 USA
4.Univ Chinese Acad Sci, Sch Comp & Control Engn, Beijing, Peoples R China
Recommended Citation
GB/T 7714
Wen, Longyin,Lei, Zhen,Chang, Ming-Ching,et al. Multi-Camera Multi-Target Tracking with Space-Time-View Hyper-graph[J]. INTERNATIONAL JOURNAL OF COMPUTER VISION,2017,122(2):313-333.
APA Wen, Longyin,Lei, Zhen,Chang, Ming-Ching,Qi, Honggang,&Lyu, Siwei.(2017).Multi-Camera Multi-Target Tracking with Space-Time-View Hyper-graph.INTERNATIONAL JOURNAL OF COMPUTER VISION,122(2),313-333.
MLA Wen, Longyin,et al."Multi-Camera Multi-Target Tracking with Space-Time-View Hyper-graph".INTERNATIONAL JOURNAL OF COMPUTER VISION 122.2(2017):313-333.
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