A Real-Time Multi Face Detection Technique Using Positive-Negative Lines-of-Face Template

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17th International Conference on Pattern Recognition (ICPR'04) - Volume 1

Cambridge UK

August 23-August 26

ISBN: 0-7695-2128-2

	ASCII Text	x
	Yuichi Hori, Kenji Shimizu, Yutaka Nakamura, Tadahiro Kuroda, "A Real-Time Multi Face Detection Technique Using Positive-Negative Lines-of-Face Template," Pattern Recognition, International Conference on, vol. 1, pp. 765-768, 17th International Conference on Pattern Recognition (ICPR'04) - Volume 1, 2004.

	BibTex	x
	@article{ 10.1109/ICPR.2004.1334309, author = {Yuichi Hori and Kenji Shimizu and Yutaka Nakamura and Tadahiro Kuroda}, title = {A Real-Time Multi Face Detection Technique Using Positive-Negative Lines-of-Face Template}, journal ={Pattern Recognition, International Conference on}, volume = {1}, year = {2004}, issn = {1051-4651}, pages = {765-768}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICPR.2004.1334309}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Pattern Recognition, International Conference on TI - A Real-Time Multi Face Detection Technique Using Positive-Negative Lines-of-Face Template SN - 1051-4651 SP765 EP768 A1 - Yuichi Hori, A1 - Kenji Shimizu, A1 - Yutaka Nakamura, A1 - Tadahiro Kuroda, PY - 2004 KW - null VL - 1 JA - Pattern Recognition, International Conference on ER -

Yuichi Hori, Keio University, Japan

Kenji Shimizu, Keio University, Japan

Yutaka Nakamura, Keio University, Japan

Tadahiro Kuroda, Keio University, Japan

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICPR.2004.1334309

This paper describes a real-time multi face detection technique for color video sequences. A 3D rational skin color model and a positive-negative lines-of-face template are proposed to improve signal to noise ratio (SNR) in face detection. Steady State Genetic Algorithm (SSGA) is employed for lines-of-face detection from entire image. Hardware architecture is optimized for high-speed operation and small hardware resources. An experimental system is developed in Field Programmable Gate Array (FPGA), with only 40k gates for logic and 240k gates for memory. It detects 6 faces in real-time (30fps:every 33ms) from 320x240pixels (QVGA) color video sequences. Detection rate of 98% is achieved for 89 images including 205 faces from daily scenes.

Citation:

Yuichi Hori, Kenji Shimizu, Yutaka Nakamura, Tadahiro Kuroda, "A Real-Time Multi Face Detection Technique Using Positive-Negative Lines-of-Face Template," icpr, vol. 1, pp.765-768, 17th International Conference on Pattern Recognition (ICPR'04) - Volume 1, 2004

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