Optimization of Color-based Foreground / Background Segmentation for Outdoor Scenes

Louis St-Laurent, Donald Prévost, and Xavier Maldague


Motion detection, Background subtraction, YCoCg color space, Shadow removal


Performing foreground / background segmentation in outdoor scene is very challenging. Starting from a state-of-the-art color-based approach, we propose three improvements: the use of the YCoCg color space, a spherical association volume, and a cast shadows management approach. Using image sequences with ground truth at pixel-level, we quantitatively measured the performances of the proposed algorithm and demonstrated that it leads to a reduced processing time with improved detection accuracy. We also introduce a new public dataset of outdoor videos with ground truth.

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