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A Real-Time Multi Face Detection Technique Using Positive-Negative Lines-of-Face Template
Cambridge UK August 23-August 26
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICPR.2004.133430917th International Conference on Patt ...
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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
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@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
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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