UDC 004.424.6, DOI: 10.2298/CSIS1001201D

Robust moving object detection under complex background

Ding Ying1, 2, Li Wen-hui1 and Yang Hua-min2

  1. School of Computer Science and Technology, Jilin University
    Changchun 130012, China
  2. School of Computer Science and Technology, Changchun University of Science and Technology
    Changchun 130022, China
    {dingying, fanjingtao, yhm}@cust.edu.cn


We present a novel method to robustly and efficiently detect moving object, even under the complexity background, such as illumination changes, long shadows etc. This work is distinguished by three key contributions. The first is the integration of the Local Binary Pattern texture measure which extends the moving object detection work for light illumination changing. The second is the introduction of HSI color space measure which removes shadows for the background subtraction. The third contribution is a novel fuzzy way using the Choquet integral which improves detection accuracy. The experiment results using several dataset videos show the robustness and effectiveness of the proposed method.

Key words

moving object detection, Local Binary Pattern, HSI, Choquet integral

Digital Object Identifier (DOI)


Publication information

Volume 7, Issue 1 (February 2010)
Advances in Computer Animation and Digital Entertainment
Year of Publication: 2010
ISSN: 1820-0214 (Print) 2406-1018 (Online)
Publisher: ComSIS Consortium

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How to cite

Ying, D., Wen-hui, L., Hua-min, Y.: Robust moving object detection under complex background. Computer Science and Information Systems, Vol. 7, No. 1. (2010)