Stereo Video Objects Segmentation Based on Redundant Wavelet Transforms

Abstract

A redundant wavelet transforms based stereo video objects segmentation algorithm is presented. First, the redundant wavelet transforms is used to extract the feature points of stereo video images, and then according to the feature points, the disparity estimation is done to form a disparity map. The stationary video objects are segmented from the stereo images by disparity map. For the moving video objects, a redundant wavelet transforms based moving object extraction algorithm is used to segment the moving objects from the redundant wavelet domain. Experimental results show that the algorithm can segment video objects from stereo video images, including stationary objects and moving objects with good accuracy and robustness.