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Moving People Segmentation from Zoomed Dynamic Scenes Containing a Door

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Abstract

The challenge of segmenting the moving object is harder when the background is dynamic and the camera used can change its zoom dynamically. Here, in this paper, we propose a method to detect and segment moving object from a dynamic background, which contains moving multiple-leaf doors. In addition, the proposed algorithm also takes care of dynamic zoom changes that can occur while shooting a scene. The proposed method uses background-rebuilding with discrete door’s position to tackle moving multiple-leaf door backgrounds and image feature comparison to tackle changes in zoom. The experiment results show satisfying segmentation results with high processing speed.

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References

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Authors and Affiliations

  1. School of Computer Engineering, Nanyang Technological University, N4-B2C-06, Nanyang Avenue, Singapore, Singapore

    Peng Zhang & Sabu Emmanuel

Authors
  1. Peng Zhang
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  2. Sabu Emmanuel
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Correspondence to Peng Zhang.

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Zhang, P., Emmanuel, S. Moving People Segmentation from Zoomed Dynamic Scenes Containing a Door. New Gener. Comput. 28, 169–175 (2010). https://doi.org/10.1007/s00354-008-0084-2

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  • DOI: https://doi.org/10.1007/s00354-008-0084-2

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