Robust shadow removal algorithm for accurate object detection based on background subtraction method

This paper presents a new shadow removal algorithm for accurate object detection based on the background subtraction method. The algorithm requires no threshold to determine shadow regions, whereas the conventional algorithms suffer from specifying the thresholds for various illumination conditions. It finds shadow regions by means of measuring relative similarities between shadow candidate regions and a background image given by the BSM. We empirically verify that it is very effective to remove the shadow regions.