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http://dx.doi.org/10.12673/jant.2014.18.4.387

Shadow Removal Based on Chromaticity and Entropy for Efficient Moving Object Tracking  

Park, Ki-Hong (Division of Convergence Computer & Media, Mokwon University)
Publication Information
Journal of Advanced Navigation Technology / v.18, no.4, 2014 , pp. 387-392 More about this Journal
Abstract
Recently, various research for intelligent video surveillance system have been proposed, but the existing monitoring systems are inefficient because all of situational awareness is judged by the human. In this paper, shadow removal based moving object tracking method is proposed using the chromaticity and entropy image. The background subtraction model, effective in the context awareness environment, has been applied for moving object detection. After detecting the region of moving object, the shadow candidate region has been estimated and removed by RGB based chromaticity and minimum cross entropy images. For the validity of the proposed method, the highway video is used to experiment. Some experiments are conducted so as to verify the proposed method, and as a result, shadow removal and moving object tracking are well performed.
Keywords
Shadow removal; Moving object tracking; Chromaticity; Entropy; RGB;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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