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Shadow Removal based on Chromaticity and Brightness Distortion for Effective Moving Object Tracking
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 Title & Authors
Shadow Removal based on Chromaticity and Brightness Distortion for Effective Moving Object Tracking
Kim, Yeon-Hee; Kim, Jae-Ho; Kim, Yoon-Ho;
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 Abstract
Shadow is a common physical phenomenon in natural images and may cause problems in computer vision tasks. Therefore, shadow removal is an essential preprocessing process for effective moving object tracking in video image. In this paper, we proposed the method of shadow removal algorithm using chromaticity, brightness distortion and direction of shadow candidate. The proposed method consists of two steps. First, removal process of primary shadow candidate region by using chromaticity, brightness and distortion. The second stage applies the final shadow candidate region to obtain a direction feature of shadow which is estimated by the thinning algorithm after calculating the lowest pixel position of the moving object. To verify the proposed approach, some experiments are conducted to draw a compare between conventional method and that of proposed. Experimental results showed that proposed methodology is simple, but robust and well adaptive to be need to remove a shadow removal operation.
 Keywords
shadow removal;chromaticity;brightness distortion;moving object tracking;
 Language
Korean
 Cited by
 References
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