Journal of Guangxi Normal University(Natural Science Edition) ›› 2010, Vol. 28 ›› Issue (3): 165-169.

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Two-step Algorithm for Detecting Shadow Silhouettes of Moving Objects

WANG Wei, LI Hong-bo, WU Yu   

  1. Institute of Web Intelligence,Chongqing University of Posts and Telecommunications,Chongqing 400065,China
  • Received:2010-06-12 Online:2010-09-20 Published:2023-02-06

Abstract: In the video processing,shadow is often detected mistakenly for foreground in the segmentation with moving foreground because movingshadow shares the same characters with moving foreground.This may seriously affects post-processing such as tracking and identification.An improved algorithm is presented for shadow detection of moving object.Firstly,a Gaussian mixture model is constructed for each pixel to segment the moving object.For a pixel detected to be moving foreground in the shadow area,it is determined whether it is suspected shadowpixel according to the brightness characteristics of the 8 pixels in its neighboring region.Then all the suspected shadow is clustered by virtue of the color invariance in the Color space vector model for further shadow detection.Experimentalresults show that the detection method has a broad application prospects due to its high precision,efficiency,and rapidness.

Key words: background modeling, mixture Gaussian, shadow detection

CLC Number: 

  • TP391.41
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