A 0.79-mm2 29-mW real-time face detection core

Yuichi Hori; Tadahiro Kuroda

doi:10.1109/JSSC.2007.891675

A 0.79-mm² 29-mW real-time face detection core

Yuichi Hori, Tadahiro Kuroda

研究成果: Article › 査読

21 被引用数 (Scopus)

抄録

A 0.79-mm² 29-mW real-time face detection core is fabricated in a 0.13-μm CMOS technology. It consists of 75-kgate logic, 58-kbit SRAM, and an ARM AMBA bus interface. Comprehensive optimization in both algorithm and hardware design improves performance and reduces area and power dissipation. Two kinds of templates with facial features are proposed to achieve high speed and yet accurate face detection. A Steady State Genetic Algorithm is employed for high-speed hardware implementation of template matching. To reduce area and power dissipation, frame memory is optimized at minimum and the detection engine is shared for two kinds of template matching. The core can detect eight faces in each frame of moving pictures at 30 frames/second. Face detection accuracy is 92%.

本文言語	English
ページ（範囲）	790-797
ページ数	8
ジャーナル	IEEE Journal of Solid-State Circuits
巻	42
号	4
DOI	https://doi.org/10.1109/JSSC.2007.891675
出版ステータス	Published - 2007 4月
外部発表	はい

ASJC Scopus subject areas

電子工学および電気工学

文献へのアクセス

10.1109/JSSC.2007.891675

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引用スタイル

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title = "A 0.79-mm2 29-mW real-time face detection core",

abstract = "A 0.79-mm2 29-mW real-time face detection core is fabricated in a 0.13-μm CMOS technology. It consists of 75-kgate logic, 58-kbit SRAM, and an ARM AMBA bus interface. Comprehensive optimization in both algorithm and hardware design improves performance and reduces area and power dissipation. Two kinds of templates with facial features are proposed to achieve high speed and yet accurate face detection. A Steady State Genetic Algorithm is employed for high-speed hardware implementation of template matching. To reduce area and power dissipation, frame memory is optimized at minimum and the detection engine is shared for two kinds of template matching. The core can detect eight faces in each frame of moving pictures at 30 frames/second. Face detection accuracy is 92%.",

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author = "Yuichi Hori and Tadahiro Kuroda",

note = "Funding Information: Manuscript received August 25, 2006; revised December 4, 2006. This work was supported by a grant from NuCORE Technology Inc. The authors are with the Department of Electronics and Electrical Engineering, Keio University, Yokohama, Kanagawa 223-8522, Japan (e-mail: hori@kuro.elec.keio.ac.jp). Digital Object Identifier 10.1109/JSSC.2007.891675",

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KW - Genetic algorithms

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