Title :
Video figure ground labeling
Author :
Elqursh, Ali ; Elgammal, Ahmed
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;
Conference_Titel :
Pattern Recognition (ICPR), 2012 21st International Conference on
Conference_Location :
Tsukuba
Print_ISBN :
978-1-4673-2216-4