Title :
Video object segmentation based on global motion estimation/compensation
Author :
Hsu, Chiou Ting ; Tsai, Yu Sheng ; Hsieh, Ming Hsien ; Chien, Yu Nien
Author_Institution :
Dept. of Comput. Sci., Nat. Tsing Hua Univ., Hsinchu, Taiwan
Abstract :
This paper presents a video object segmentation scheme based on global motion estimation and compensation. For video sequences with or without camera motion, we propose a unified approach to extract the moving object models. This approach combines both the spatial information from current frame and the temporal information derived from global motion compensated frame. Experimental results demonstrate the validity and performance of our work
Keywords :
image segmentation; image sequences; motion compensation; motion estimation; video signal processing; camera motion; global motion compensation; global motion estimation; moving object models; spatial information; temporal information; video object segmentation; video sequences; Cameras; Circuits; Computer science; Data mining; Image edge detection; Image segmentation; Motion estimation; Object detection; Object segmentation; Video sequences;
Conference_Titel :
Consumer Electronics, 2001. ICCE. International Conference on
Conference_Location :
Los Angeles, CA
Print_ISBN :
0-7803-6622-0
DOI :
10.1109/ICCE.2001.935259
