However, no complete benchmark about Background Subtraction Algorithms (BSA) has
been established, with ground truth and associated quality measures. One of the reasons is
that such comparative study needs annotated datasets. In this article, we propose a BSA
evaluation dataset built from realistic synthetic image and we compare six BSA, according to
several quality measures.