Toward automatic extraction of video objects

Ze-Nian Li; James Au

doi:10.1117/12.481595

30 August 2002 Toward automatic extraction of video objects

Ze-Nian Li, James Au

Proceedings Volume 4925, Electronic Imaging and Multimedia Technology III; (2002) https://doi.org/10.1117/12.481595
Event: Photonics Asia, 2002, Shanghai, China

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.

Citation Download Citation

Ze-Nian Li and James Au "Toward automatic extraction of video objects", Proc. SPIE 4925, Electronic Imaging and Multimedia Technology III, (30 August 2002); https://doi.org/10.1117/12.481595

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