Abstract: Shadow Detection and Removal is the procedure to enhance the execution, reliability and accuracy of the computer vision applications including image segmentation and object recognition, object tracking, reconnaissance and so forth. Shadow area causes false recognition for moving objects. Shadow is also reason for false connectivity and the texture loss of background of independent blobs. We separate the moving object by subtraction algorithm in light of the distinction of pixels. Variance property, Texture and intensity in HSV color space are utilized to distinguish the shadow region and shadow removal is based on the data from the reference frame. Background data is initially stored in reference frame. The next incoming frames with shadow object are compared with this reference frame. The main objective to review this paper is to show better performance.
Keywords: shadow detection, shadow removal, subtraction algorithm, HSV color space.