Real-time object extraction system with sequential growing

Ryuji Nishimura; Mayuko Oda; Shinnichi Nonaka; Takuya Imaide

doi:10.1117/12.171779

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1 April 1994 Real-time object extraction system with sequential growing

Ryuji Nishimura, Mayuko Oda, Shinnichi Nonaka, Takuya Imaide

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Proceedings Volume 2185, Storage and Retrieval for Image and Video Databases II; (1994) https://doi.org/10.1117/12.171779
Event: IS&T/SPIE 1994 International Symposium on Electronic Imaging: Science and Technology, 1994, San Jose, CA, United States

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.

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Ryuji Nishimura, Mayuko Oda, Shinnichi Nonaka, and Takuya Imaide "Real-time object extraction system with sequential growing", Proc. SPIE 2185, Storage and Retrieval for Image and Video Databases II, (1 April 1994); https://doi.org/10.1117/12.171779

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