Title :
Image sequence segmentation using curve evolution
Author :
Zhang, Jun ; Gao, Jianbo
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Wisconsin Univ., Milwaukee, WI, USA
Abstract :
In this paper, we describe a novel approach for image sequence segmentation. It contains three parts: global motion compensation, robust frame differencing, and curve evolution. It is computationally efficient, does not require dense-field motion estimation, and is insensitive to noise and global/background motion. The efficacy of this approach is demonstrated on both TV and surveillance image sequences.
Keywords :
image segmentation; image sequences; motion compensation; video signal processing; TV image sequences; curve evolution; global motion compensation; image sequence segmentation; noise insensitive; robust frame differencing; surveillance image sequences; Biomedical monitoring; Image segmentation; Image sequences; MPEG 4 Standard; Motion compensation; Motion estimation; Noise robustness; TV; Video compression; Video surveillance;
Conference_Titel :
Signals, Systems, and Computers, 1999. Conference Record of the Thirty-Third Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
Print_ISBN :
0-7803-5700-0
DOI :
10.1109/ACSSC.1999.831941
