Title :
Stereo Video Objects Segmentation Based on Redundant Wavelet Transforms
Author :
Gao, Tao ; Liu, Zheng-guang
Author_Institution :
Sch. of Electr. Eng. & Autom., Tianjin Univ., Tianjin
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.
Keywords :
feature extraction; image segmentation; stereo image processing; video signal processing; wavelet transforms; disparity estimation; disparity map; feature extraction; moving object extraction algorithm; redundant wavelet transforms; stereo video objects segmentation; Cameras; Geometrical optics; Image segmentation; Intelligent networks; Layout; Object segmentation; Robustness; Videoconference; Wavelet domain; Wavelet transforms; disparity correspondence; disparity estimation; redundant wavelet; stereo images; stereo video objects segmentation;
Conference_Titel :
Intelligent Networks and Intelligent Systems, 2008. ICINIS '08. First International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3391-9
Electronic_ISBN :
978-0-7695-3391-9
DOI :
10.1109/ICINIS.2008.148
