Publication

Abstract : Shadows plays an inevitable part in an image and also the major source of hindrance in Computer Vision analysis. Shadow detection is the performance enhancement process that increases the accuracy of the Computer Vision algorithms like Object Tracking, Object Recognition, Image Segmentation, Surveillance, Scene Analysis, Stereo, Tracking, etc. Shadows limit the stability of these algorithms, and hence detecting shadows and its elimination are profound pre-processing techniques for improving execution of Vision algorithms efficiently. To label the challenges under various environmental conditions, researches have been carried out to develop various algorithms and techniques for shadow detection. This paper objective is to bring comparative analysis of shadow detection techniques with their pros and cons.