In this paper, a very fast, noise robust and accurate video object plane (VOP extraction algorithm based on wavelet transform and watershed segmentation techniques is proposed. The proposed algorithm firstly, applies the wavelet transform on incoming frames and uses the approximation
coefficient matrix of the first level through out the algorithm. This not only increases the speed of the algorithm but also reduces the camera
noise. The proposed method subsequently uses a prediction method to apply the watershed algorithm on those areas of the sub-image that might contain a moving object
