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An Equalised Global Graphical Model-Based Approach for Multi-Camera Object Tracking
Weihua Chen; Lijun Cao; Xiaotang Chen; Kaiqi Huang
2017-11
发表期刊IEEE Transactions on Circuits and Systems for Video Technology
卷号27期号:11页码:2367-2381
摘要Non-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.
关键词Multi-camera Multi-object Tracking Global Graph Model Non-overlapping Visual Object Tracking
收录类别SCI
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/19646
专题智能感知与计算研究中心
作者单位中国科学院自动化研究所
推荐引用方式
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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