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A Novel Solution for Multi-Camera Object Tracking
Weihua Chen; Lijun Cao; Xiaotang Chen; Kaiqi Huang
2014
Conference NameInternational Conference on Image Processing (ICIP)
Source PublicationProc. IEEE International Conference on Image Processing 2014
Pages2329-2333
Conference Date2014-10-01
Conference PlaceParis, France
AbstractThe traditional multi-camera object tracking contains two steps: single camera object tracking (SCT) and inter-camera object tracking (ICT). The ICT performance strongly relies on the great results of SCT. In practice, most of current SCT methods are unperfect and products much more fragments. In this paper, a novel solution using a global tracklet association is proposed, which can provide a good ICT performance when the SCT results are not perfect. The proposed solution is also available in non-overlapping views through a new tracklet representation and experiments shows the effectiveness of the proposed novel solution in real scene.
KeywordCameras   image Fusion   object Tracking
Indexed ByEI
Language英语
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/12683
Collection智能感知与计算研究中心
Corresponding AuthorKaiqi Huang
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. A Novel Solution for Multi-Camera Object Tracking[C],2014:2329-2333.
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