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http://dx.doi.org/10.5302/J.ICROS.2010.16.1.069

A Shadow Region Suppression Method using Intensity Projection and Converting Energy to Improve the Performance of Probabilistic Background Subtraction  

Hwang, Soon-Min (부산대학교 기계공학부)
Kang, Dong-Joong (부산대학교 기계공학부)
Publication Information
Journal of Institute of Control, Robotics and Systems / v.16, no.1, 2010 , pp. 69-76 More about this Journal
Abstract
The segmentation of moving object in video sequence is a core technique of intelligent image processing system such as video surveillance, traffic monitoring and human tracking. A typical method to segment a moving region from the background is the background subtraction. The steps of background subtraction involve calculating a reference image, subtracting new frame from reference image and then thresholding the subtracted result. One of famous background modeling is Gaussian mixture model (GMM). Even though the method is known efficient and exact, GMM suffers from a problem that includes false pixels in ROI (region of interest), specifically shadow pixels. These false pixels cause fail of the post-processing tasks such as tracking and object recognition. This paper presents a method for removing false pixels included in ROT. First, we subdivide a ROI by using shape characteristics of detected objects. Then, a method is proposed to classify pixels from using histogram characteristic and comparing difference of energy that converts the color value of pixel into grayscale value, in order to estimate whether the pixels belong to moving object area or shadow area. The method is applied to real video sequence and the performance is verified.
Keywords
video surveillance; object tracking; background subtraction; GMM; shadow region detection; color-gray converting energy;
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Times Cited By KSCI : 3  (Citation Analysis)
Times Cited By SCOPUS : 1
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