DocumentCode :
384347
Title :
Object segmentation and tracking using video locales
Author :
Au, James ; Li, Ze-Nian ; Drew, Mark S.
Author_Institution :
UBVideo Inc., Vancouver, BC, Canada
Volume :
2
fYear :
2002
fDate :
2002
Firstpage :
544
Abstract :
In this paper, we present a new technique based on feature localization for segmenting and tracking objects in videos. A video locale is a sequence of image feature locales that share similar features (color, texture, shape, and motion) in the spatio-temporal domain of videos. Image feature locales are grown from tiles (blocks of pixels) and can be non-disjoint and non-connected. To exploit the temporal redundancy in digital videos, two algorithms (intra-frame and inter-frame) are used to grow locales efficiently. Multiple motion tracking is achieved by tracking and performing tile-based dominant motion estimation for each locale separately.
Keywords :
feature extraction; image segmentation; motion estimation; digital videos; feature localization; image feature locales; multiple motion tracking; object segmentation; object tracking; spatiotemporal domain; temporal redundancy; tile-based dominant motion estimation; video locales; Gold; Image segmentation; Motion estimation; Object segmentation; Pixel; Shape; Statistics; Tiles; Tracking; Video sharing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2002. Proceedings. 16th International Conference on
ISSN :
1051-4651
Print_ISBN :
0-7695-1695-X
Type :
conf
DOI :
10.1109/ICPR.2002.1048360
Filename :
1048360
Link To Document :
بازگشت