Moving cast shadow detection and removal from Video based on HSV color space
Animesh Kar, Kaushik Deb · 2015
Shadow area causes false detection of moving objects during segmentation and tracking those objects properly. Shadows are also reason for the texture loss of background and false connectivity of independent blobs. Hence, we propose a simple method to detect moving object's cast shadow and then remove the shadow region from Video frames. We extract the moving object by subtraction algorithm based on the difference of pixels. Texture, variance property and intensity in HSV color space are used to detect the shadow region and shadow removal is based on the information from the reference frame. Background information is initially stored in reference frame. The next incoming frames with object are compared with this frame. Color information for both background subtraction and shadow detection to improve object segmentation are ensured in this paper. Experimental results show that our proposed method is easy to be understood, can detect and remove the shadow and extract the moving object properly.