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  • Research Article
  • Open Access
  • Multiview-Based Cooperative Tracking of Multiple Human Objects

    EURASIP Journal on Image and Video Processing20072008:253039

    https://doi.org/10.1155/2008/253039

    • Received: 31 January 2007
    • Accepted: 3 December 2007
    • Published:

    Abstract

    Human tracking is a popular research topic in computer vision. However, occlusion problem often complicates the tracking process. This paper presents the so-called multiview-based cooperative tracking of multiple human objects based on the homographic relation between different views. This cooperative tracking applies two hidden Markov processes (tracking and occlusion processes) for each target in each view. The tracking process locates the moving target in each view, whereas the occlusion process represents the possible visibility of the specific target in that designated view. Based on the occlusion process, the cooperative tracking process may reallocate tracking resources for different trackers in different views. Experimental results show the efficiency of the proposed method.

    Keywords

    • Image Processing
    • Pattern Recognition
    • Computer Vision
    • Research Topic
    • Markov Process

    Publisher note

    To access the full article, please see PDF.

    Authors’ Affiliations

    (1)
    Institute of Electrical Engineering, National Tsing Hua University (NTHU), Hsin-Chu, 30013, Taiwan
    (2)
    Department of Informatics, Fo-Guang University, I-Lan, 26247, Taiwan

    Copyright

    © K.-C. Lien and C.-L. Huang. 2008

    This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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