Title: An Equalized Global Graph Model-Based Approach for Multicamera Object Tracking
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| Authors: Chen, WH; Cao, LJ; Chen, XT; Huang, KQ
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| Author Full Names: Chen, Weihua; Cao, Lijun; Chen, Xiaotang; Huang, Kaiqi
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| Source: IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 27 (11):2367-2381; 10.1109/TCSVT.2016.2589619 NOV 2017
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| Language: English
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| Abstract: Nonoverlapping multicamera visual object tracking typically consists of two steps: single-camera object tracking (SCT) and inter-camera object tracking (ICT). Most of tracking methods focus on SCT, which happens in the same scene, while for real surveillance scenes, ICT is needed and single-camera tracking methods cannot work effectively. In this paper, we try to improve the overall multicamera 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 SCT.
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| ISSN: 1051-8215
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| eISSN: 1558-2205
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| IDS Number: FN0QJ
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| Unique ID: WOS:000415683100008
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