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A Multi-Layer Background Subtraction Based on Gaussian Pyramid for Moving Objects Detection

Journal Name:

  • Journal of Control Engineering and Technology

Publication Year:

  • 2012

Key Words:

Author NameUniversity of Author
Abstract (2. Language): 
In this paper, a real-time multi-layer background subtraction based on Gaussian pyramid is proposed for moving object detection. The proposed method models background on two levels: region analysis in the high-resolution level with averaging background model and pixel analysis in the low-resolution level with hierarchical non-parametric kernel density estimation method. The new method has lower time and space complexities and is more effective than Elgammal’s method. Meanwhile, time factor is introduced to refine foreground, and a novel background updating strategy is proposed to adapt to the changes in the scene. Experiment results on both the public video database and our own video database show that the proposed approach has good accuracy and speed, especially against drastic camera shaking.
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FULL TEXT (PDF): 
PDF icon arastrmx_153796_2_pp_160-167.pdf
  • 4
160-167
  • English

REFERENCES

References: 

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