DocumentCode
595232
Title
Video figure ground labeling
Author
Elqursh, Ali ; Elgammal, Ahmed
fYear
2012
fDate
11-15 Nov. 2012
Firstpage
2472
Lastpage
2475
Abstract
Figure-ground labeling is a classical problem in computer vision in which the goal is to label different parts of the visual input as figural or background. Yet most existing approaches focuses on single image figure-ground labeling with little emphasis on video. We present a method which integrates several cues to achieve figure-ground labeling on video sequences. The method is evaluated on challenging video sequences.
Keywords
computer vision; image sequences; video signal processing; computer vision; single image figure-ground labeling; video figure ground labeling; video sequences; Feature extraction; Image color analysis; Image segmentation; Labeling; Legged locomotion; Motion segmentation; Trajectory;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition (ICPR), 2012 21st International Conference on
Conference_Location
Tsukuba
ISSN
1051-4651
Print_ISBN
978-1-4673-2216-4
Type
conf
Filename
6460668
Link To Document