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Multiview-Based Cooperative Tracking of Multiple Human Objects

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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.

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Correspondence to Chung-Lin Huang.

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Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License (https://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Lien, K., Huang, C. Multiview-Based Cooperative Tracking of Multiple Human Objects. J Image Video Proc 2008, 253039 (2007) doi:10.1155/2008/253039

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Keywords

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