Paper
8 July 2011 An improved codebook model for detecting moving object under complex dynamic background
Xianyong Fang, Biao He, Bin Luo, Hao Wu, Hu Zhang, Zhongbiao Wu
Author Affiliations +
Proceedings Volume 8009, Third International Conference on Digital Image Processing (ICDIP 2011); 80091M (2011) https://doi.org/10.1117/12.896090
Event: 3rd International Conference on Digital Image Processing, 2011, Chengdu, China
Abstract
Background subtraction is popular in moving object detection, but it is weak under the complex dynamic background where there are serious variations of illumination and color in the background pixels. This paper studies one of the background subtraction method, codebook, and propose an improved codebook model to resolve this problem. The novelty of the model lies in two aspects: 1) it applies HSV color space into the block-based codebook for robust codebook construction; 2) it also includes an efficient correction mechanism to update the codebook and eliminate false targets during detection. Experimental results demonstrate the proposed codebook model can detect the moving target effectively.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xianyong Fang, Biao He, Bin Luo, Hao Wu, Hu Zhang, and Zhongbiao Wu "An improved codebook model for detecting moving object under complex dynamic background", Proc. SPIE 8009, Third International Conference on Digital Image Processing (ICDIP 2011), 80091M (8 July 2011); https://doi.org/10.1117/12.896090
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KEYWORDS
RGB color model

Target detection

Video

Curtains

Performance modeling

Statistical modeling

Stereolithography

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