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Proceedings Paper

Toward automatic extraction of video objects
Author(s): Ze-Nian Li; James Au
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Paper Abstract

A new technique based on feature localization is developed 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. 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. Hence, the difficulty of multiple non-dominating motions is avoided. Tests on natural videos have shown very good results.

Paper Details

Date Published: 30 August 2002
PDF: 12 pages
Proc. SPIE 4925, Electronic Imaging and Multimedia Technology III, (30 August 2002); doi: 10.1117/12.481595
Show Author Affiliations
Ze-Nian Li, Simon Fraser Univ. (Canada)
James Au, Simon Fraser Univ. (Canada)

Published in SPIE Proceedings Vol. 4925:
Electronic Imaging and Multimedia Technology III
LiWei Zhou; Chung-Sheng Li; Yoshiji Suzuki, Editor(s)

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