DocumentCode :
2646878
Title :
Use Minimum Graph Cut Based On Hybrid Algorithm For Motion Segmentation
Author :
Li, Yuzhen ; Lu, Jianming ; Mohamed, Ghoneim ; Yahagi, Takashi ; Sekiya, Hiroo
Author_Institution :
Graduate Sch. of Sci. & Technol., Chiba Univ.
fYear :
2006
fDate :
12-15 Dec. 2006
Firstpage :
435
Lastpage :
438
Abstract :
Motion segmentation is important in many computer vision application, which aims to detect motion regions such as moving vehicles and people in natural scenes. Detecting moving blobs provides a focus of attention for later processes such as tracking and activity analysis. However, changes from weather, illumination, shadow and repetitive motion from clutter make motion segmentation difficult to process quickly and reliably. In this paper we proposed a method using minimum graph cuts based on hybrid algorithm approach for moving object segmentation. Experiments are carried out to examine the efficiency of the proposed approach
Keywords :
graph theory; image segmentation; motion compensation; object detection; computer vision application; hybrid algorithm approach; minimum graph cuts; motion detection; motion segmentation; Change detection algorithms; Computer vision; Image motion analysis; Image segmentation; Image sequences; Layout; Motion detection; Motion segmentation; Optical sensors; Signal processing algorithms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Signal Processing and Communications, 2006. ISPACS '06. International Symposium on
Conference_Location :
Yonago
Print_ISBN :
0-7803-9732-0
Electronic_ISBN :
0-7803-9733-9
Type :
conf
DOI :
10.1109/ISPACS.2006.364692
Filename :
4212310
Link To Document :
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