A FAST VOP EXTRACTION TECHNIQUE BASED ON WAVELET TRANSFORM AND WATERSHED SEGMENTATION

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. This prediction stage increases the speed of the segmentation process efficiently. The experimental results show the superiority of the proposed algorithm when compared with other available schemes.

Keywords:

Wavelet Transformation , Change Detection Mask , Video Object Plane , Watershed Segmentation