Title :
Modified intelligent scissors and video decomposing for video object segmentation
Author :
Gaobo, Yang ; Zhaoyang, Zhang
Author_Institution :
Dept. of Electron. Eng., Shanghai Univ., China
fDate :
7/24/2003 12:00:00 AM
Abstract :
A semiautomatic video object segmentation is proposed. The initial object contour is obtained by modified intelligent scissors. Video decomposing is performed to avoid errors accumulating during object tracking. Snake-based bidirectional tracking is utilised to interpolate the VOPs of successive frames. Experimental results show the effectiveness of the method.
Keywords :
image segmentation; image sequences; interpolation; tracking; video signal processing; generic video sequence; initial object contour; modified intelligent scissors; object tracking; robustness; semiautomatic video object segmentation; snake-based bidirectional tracking; video decomposing; video object plane interpolation;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:20030684