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Proceedings Paper

Real-time object extraction system with sequential growing
Author(s): Ryuji Nishimura; Mayuko Oda; Shinnichi Nonaka; Takuya Imaide
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Paper Abstract

This paper describes a novel system for real-time object extraction from a moving video image. The object extraction method employed in this system has two features. The first one is multi-channel thresholding in a color space for extracting a target with several colors as a single object. The color space is normalized by luminance to make the process robust against light intensity fluctuations. The other feature is a key algorithm, called sequential growing, which exploits interfield correlation of a video image and realizes field-rate operation. In this algorithm, a binary image representing a target object is generated by growing an initially given mask image horizontally and vertically until whole object is extracted. We have also fabricated a 0.8 micrometers CMOS chip to incorporate the system into a compact video camera, which has successfully extracted objects in a number of general scenes.

Paper Details

Date Published: 1 April 1994
PDF: 7 pages
Proc. SPIE 2185, Storage and Retrieval for Image and Video Databases II, (1 April 1994); doi: 10.1117/12.171779
Show Author Affiliations
Ryuji Nishimura, Hitachi Ltd. (Japan)
Mayuko Oda, Hitachi Ltd. (Japan)
Shinnichi Nonaka, Hitachi Ltd. (Japan)
Takuya Imaide, Hitachi Ltd. (Japan)

Published in SPIE Proceedings Vol. 2185:
Storage and Retrieval for Image and Video Databases II
Carlton Wayne Niblack; Ramesh C. Jain, Editor(s)

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