Optimization of Color-based Foreground / Background Segmentation for Outdoor Scenes
Louis St-Laurent, Donald Prévost, Xavier Maldague · 2012
Performing foreground / background segmentation in outdoor scene is very challenging. Starting from a stateof-the-art color-based approach [8], 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.