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An Equalised Global Graphical Model-Based Approach for Multi-Camera Object Tracking
Weihua Chen; Lijun Cao; Xiaotang Chen; Kaiqi Huang
Source PublicationIEEE Transactions on Circuits and Systems for Video Technology
2017-11
Volume27Issue:11Pages:2367-2381
AbstractNon-overlapping multi-camera visual object tracking typically consists of two steps: single camera object tracking and inter-camera object tracking. Most of tracking methods focus on single camera object tracking, which happens in the same scene, while for real surveillance scenes, inter-camera object tracking is needed and single camera tracking methods can not work effectively. In this paper, we try to improve the overall multi-camera object tracking performance by a global graph model with an improved similarity metric. Our method treats the similarities of single camera tracking and inter-camera tracking differently and obtains the optimization in a global graph model. The results show that our method can work better even in the condition of poor single camera object tracking.
KeywordMulti-camera Multi-object Tracking Global Graph Model Non-overlapping Visual Object Tracking
Indexed BySCI
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/19646
Collection智能感知与计算研究中心
Affiliation中国科学院自动化研究所
Recommended Citation
GB/T 7714
Weihua Chen,Lijun Cao,Xiaotang Chen,et al. An Equalised Global Graphical Model-Based Approach for Multi-Camera Object Tracking[J]. IEEE Transactions on Circuits and Systems for Video Technology,2017,27(11):2367-2381.
APA Weihua Chen,Lijun Cao,Xiaotang Chen,&Kaiqi Huang.(2017).An Equalised Global Graphical Model-Based Approach for Multi-Camera Object Tracking.IEEE Transactions on Circuits and Systems for Video Technology,27(11),2367-2381.
MLA Weihua Chen,et al."An Equalised Global Graphical Model-Based Approach for Multi-Camera Object Tracking".IEEE Transactions on Circuits and Systems for Video Technology 27.11(2017):2367-2381.
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