Morphological Operation-Based Background Subtraction Method for Shadow Removal in Outdoor Video Sequences

Abstract

The difficult tasks of shadow identification and removal span a wide range of contexts, including computer vision, indoor and outdoor scenarios, and reconnaissance framework. An activity observation framework's performance may suffer if a shadow is incorrectly identified as a foreground object. Although many algorithms are available for removing shadow from images there are some limitations. The goal of this article is to provide a brief overview of the various algorithms used in shadow detection, shadow removal, and ghost elimination, along with their benefits and drawbacks. The article also offered a novel background subtraction-based technique using morphological operation for eliminating shadows from video frames that successfully identifies the shadow region in a frame and eliminates it from the frame. Furthermore, a comparison is made between the proposed method and the existing approaches, and the experimental findings demonstrate its robustness. The experimental outcomes exhibit that the proposed approach shows its effectiveness in terms of an accuracy of 81.37%, precision of 0.81, recall of 0.84, and f1 score of 0.83 compared to other existing approaches.