Change Area Detection using Color and Edge Gradient Covariance Features
| Autor: | Dong-Keun Kim, Chi-Jung Hwang |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
030506 rehabilitation
Color histogram 030504 nursing Covariance matrix business.industry Color balance Pattern recognition Covariance intersection Covariance 03 medical and health sciences Color depth RGB color model Computer vision Artificial intelligence 0305 other medical science business Image gradient Mathematics |
| Zdroj: | Journal of the Korea Academia-Industrial cooperation Society. 17:717-724 |
| ISSN: | 1975-4701 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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