DocumentCode
2501999
Title
Multi-object Segmentation in a Projection Plane Using Subtraction Stereo
Author
Ubukata, Toru ; Terabayashi, Kenji ; Moro, Alessandro ; Umeda, Kazunori
Author_Institution
CREST, Chuo Univ., Tokyo, Japan
fYear
2010
fDate
23-26 Aug. 2010
Firstpage
3296
Lastpage
3299
Abstract
We propose a method for multi-object segmentation in a projection plane. Our algorithm requires a stereo camera system called Subtraction Stereo, which extracts foreground information with a fixed stereo camera. The main contribution of this paper is how the image sequences that include partial occlusion of the foreground objects can be accurately segmented using mean shift clustering in real-time processing. The proposed method is suitable for inside a medium-sized environment, such as a room. Finally, we try to segment the sequences that include occlusion and show the accuracy of the proposed method.
Keywords
computer graphics; image segmentation; image sequences; object recognition; pattern clustering; stereo image processing; foreground information extraction; image sequences; mean shift clustering; medium-sized environment; multiobject segmentation; partial occlusion; projection plane; real-time processing; stereo camera system; subtraction stereo; Accuracy; Cameras; Histograms; Image segmentation; Pixel; Real time systems; Stereo vision; object segmentation; stereo vision;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition (ICPR), 2010 20th International Conference on
Conference_Location
Istanbul
ISSN
1051-4651
Print_ISBN
978-1-4244-7542-1
Type
conf
DOI
10.1109/ICPR.2010.806
Filename
5597148
Link To Document