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Foreground detection by using multi features

Foreground detection is an essential task in many applications and a commonly used approach to obtain foreground objects from the background. Many techniques exist, but due to shadows and changes in illumination the detection of foreground objects from the background remains challenging. The most popular method for foreground detection is background subtraction where a background model needs to be maintained. In this paper, we propose a method for detecting objects based on texture, color and edge measure. The proposed method is characterized through robustness against illumination changes, shadows and little background changes, and it is validated with the experimental results.