Foreground Object Extraction Using Thresholding with Automatic Shadow Removal

Abstract

In Computer Vision, Visual Surveillance or in caseof Intelligent Transportation System, one of the most challengingtasks is the extraction of moving object or foreground extraction. Background Subtraction is the most intuitive method using singlefixed threshold for foreground extraction. Some techniques makeuse of correlated nature of RGB intensities, but can't resolvethe ambiguities of using a single fixed threshold. Moreover, segmentation has side effects like moving cast shadows and SelfShadow, both of which reduce accuracy. In this paper, we presentan automatic shadow removal method to extract objects. Theanalytical comparison with other foreground extraction, shadowdetection and removal algorithms and their results are alsopresented for better understanding. The proposed method extractsilhouette without any pre or post processing step of shadow removal.