DocumentCode :
3051612
Title :
A stereo video object segmentation algorithm based on motion detection and disparity
Author :
Lingyun Wang ; Zhaohui Li ; Dongmei Li
Author_Institution :
Dept. of Telecommun. Syst., Commun. Univ. of China, Beijing, China
fYear :
2012
fDate :
21-23 Sept. 2012
Firstpage :
356
Lastpage :
359
Abstract :
With the development of the stereo video, the technology of the stereo video object segmentation has gradually become a research hotpot. In this paper, a stereo video object segmentation algorithm based on motion detection and disparity is proposed, which utilizes the information of motion, disparity and edging features to extract moving objects from video sequences. Firstly, the eight-neighbor motion detection is used to get the change detection mask (CDM) of moving objects. Secondly, the stereo matching is adopted to get the disparity map which will then be used to modify the CDM. Finally, the edging information and mathematic morphology post-processing are applied to get the accurate video object. Experimental results demonstrate that the proposed algorithm can successfully extract moving objects from stereo video sequences whose background have other moving objects.
Keywords :
image matching; image segmentation; mathematical morphology; object detection; stereo image processing; change detection mask; edging features; edging information; eight-neighbor motion detection; mathematic morphology post-processing; motion disparity; motion information; moving object extraction; research hotpot; stereo matching; stereo video object segmentation; video sequences; Change detection algorithms; Estimation; Motion detection; Motion segmentation; Noise; Object segmentation; Video sequences; Disparity estimation; Motion detection; Object segmentation; Stereo video;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Network Infrastructure and Digital Content (IC-NIDC), 2012 3rd IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-2201-0
Type :
conf
DOI :
10.1109/ICNIDC.2012.6418774
Filename :
6418774
Link To Document :
بازگشت