Journal of South China University of Technology (Natural Science Edition) ›› 2009, Vol. 37 ›› Issue (1): 64-68.

• Electronics, Communication & Automation Technology • Previous Articles     Next Articles

Shadow Detection Algorithm Based on Gabor Wavelet and Color Model

Bai Ke-jia1  Liu Wei-ming2  Tang Yi2   

  1. 1. School of Automation Science and Engineering, South China University of Technology, Guangzhou 510640, Guangdong, China; 2. School of Civil Engineering and Transportation, South China University of Technology, Guangzhou 510640, Guangdong, China
  • Received:2008-01-16 Revised:2008-03-11 Online:2009-01-25 Published:2009-01-25
  • Contact: 柏柯嘉（1974-），男，博士生，主要从事图像处理、模式识别与目标跟踪研究． E-mail:haikejia@tom.com
  • About author:柏柯嘉（1974-），男，博士生，主要从事图像处理、模式识别与目标跟踪研究．

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Abstract:

In order to effectively detect the shadow areas in image sequences and to eliminate the serious effect of shadows on the object tracking and recognition, this paper proposes a new shadow detection algorithm based on the Gabor wavelet and the color model. In this algorithm, first, the Gaussian mixture distribution model and shadow color model of the background are established. Next, the foreground figures are extracted by means of the difference method. Then, the potential shadow pixels are found out by means of Gabor wavelet texture analysis, which are further analyzed with the shadow color model to search real shadow pixels. Finally, the real shadow areas are distinguished after some subsequent processing steps. Experimental results demonstrate that the proposed algorithm is of high performance of shadow detection.

Key words: shadow detection, Gaussian mixture distribution model, Gabor wavelet, shadow color model, labeling connected component