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Proceedings Paper

Object and camera movement tracking based on 2D hint extraction
Author(s): Mohsen Ardebilian Fard; Liming Chen
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Paper Abstract

Objects and camera movements are important clues, which can be used for a better video and image understanding for content-based image and video indexing. In this paper, we propose a new general technique for object and 3D camera movement detection based on 2D hints extracted from 2D images. Our approach consists of extracting first 2D hints based on object contours and calculating their different order derivatives. We then apply our pattern matching method to obtain objects movement vectors, and with help of 3D projection theory, we detect the camera movement description in the 3D space. The further work we have been undertaking shows that 2D and 3D hints combined with movement vectors can lead to 3D scene description. Some experimental evidence is also provided.

Paper Details

Date Published: 24 August 1999
PDF: 9 pages
Proc. SPIE 3846, Multimedia Storage and Archiving Systems IV, (24 August 1999); doi: 10.1117/12.360425
Show Author Affiliations
Mohsen Ardebilian Fard, Univ. de Technologie de Compiegne (France)
Liming Chen, Ecole Centrale de Lyon (Canada)


Published in SPIE Proceedings Vol. 3846:
Multimedia Storage and Archiving Systems IV
Sethuraman Panchanathan; Shih-Fu Chang; C.-C. Jay Kuo, Editor(s)

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