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An adaptive background reconstruction algorithm based on inertial filtering

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Abstract

To improve the detecting effects of moving objects, an adaptive background reconstruction algorithm based on inertial filtering is proposed in this paper. According to different properties of the moving foreground and ever-changing background, the current frame is added to the background with a specific weight value. So the background can not only keep steady, but also be reconstructed at a specific speed. Experimental results show that the algorithm can reconstruct the background quickly and effectively whenever the background changes slowly or suddenly, or the background is mixed with moving foreground, and it can improve the veracity and robustness of objects detection effectively.

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Authors and Affiliations

  1. College of Automation Science and Engineering, South China University of Technology, Guangzhou, 510640, China

    Wen-xiong Kang  (康文雄) & Wen-zhuo Lai  (赖文焯)

  2. Guangdong Agricultural Machinery Research Institute, Guangzhou, 510640, China

    Xiang-bao Meng  (孟祥宝)

Authors
  1. Wen-xiong Kang  (康文雄)
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  2. Wen-zhuo Lai  (赖文焯)
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  3. Xiang-bao Meng  (孟祥宝)
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Corresponding author

Correspondence to Wen-xiong Kang  (康文雄).

Additional information

This work has been supported by the National Natural Science Foundation of China (Nos. 60874114 and 60674034), and the Science and Technology Program of Tianhe District of Guangzhou (No.061G035)

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Kang, Wx., Lai, Wz. & Meng, Xb. An adaptive background reconstruction algorithm based on inertial filtering. Optoelectron. Lett. 5, 468–471 (2009). https://doi.org/10.1007/s11801-009-9075-x

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  • DOI: https://doi.org/10.1007/s11801-009-9075-x

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