L. St-Laurent, D. Prévost et X. Maldague "Optimization of color-based foreground / background segmentation for outdoor scenes " , 8, 2012
Résumé: Performing foreground / background segmentation in
outdoor scene is very challenging. Starting from a state-of-
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.
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