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Change Area Detection using Color and Edge Gradient Covariance Features
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 Title & Authors
Change Area Detection using Color and Edge Gradient Covariance Features
Kim, Dong-Keun; Hwang, Chi-Jung;
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 Abstract
This paper proposes a change detection method based on the covariance matrices of color and edge gradient in a color video. The YCbCr color format was used instead of RGB. The color covariance matrix was calculated from the CbCr-channels and the edge gradient covariance matrix was calculated from the Y-channels. The covariance matrices were effectively calculated at each pixel by calculating the sum, squared sum, and sum of two values' multiplication of a rectangle area using the integral images from a background image. The background image was updated by a running the average between the background image and a current frame. The change areas in a current frame image against the background were detected using the Mahalanobis distance, which is a measure of the statistical distance using covariance matrices. The experimental results of an expressway color video showed that the proposed approach can effectively detect change regions for color and edge gradients against the background.
 Keywords
Change Detection;YCbCr color;Covariance;Integral images;Video;
 Language
Korean
 Cited by
 References
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