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Proceedings Paper

Human face detection using motion and color information
Author(s): Yang-Gyun Kim; Man-Won Bang; Soon-Young Park; Kyoung-Ho Choi; Jeong-Hyun Hwang
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Paper Abstract

In this paper, we present a hardware implementation of a face detector for surveillance applications. To come up with a computationally cheap and fast algorithm with minimal memory requirement, motion and skin color information are fused successfully. More specifically, a newly appeared object is extracted first by comparing average Hue and Saturation values of background image and a current image. Then, the result of skin color filtering of the current image is combined with the result of a newly appeared object. Finally, labeling is performed to locate a true face region. The proposed system is implemented on Altera Cyclone2 using Quartus II 6.1 and ModelSim 6.1. For hardware description language (HDL), Verilog-HDL is used.

Paper Details

Date Published: 3 March 2008
PDF: 8 pages
Proc. SPIE 6813, Image Processing: Machine Vision Applications, 681312 (3 March 2008); doi: 10.1117/12.767375
Show Author Affiliations
Yang-Gyun Kim, Mokpo National Univ. (South Korea)
Man-Won Bang, Mokpo National Univ. (South Korea)
Soon-Young Park, Mokpo National Univ. (South Korea)
Kyoung-Ho Choi, Mokpo National Univ. (South Korea)
Jeong-Hyun Hwang, Eyenix Co. (South Korea)

Published in SPIE Proceedings Vol. 6813:
Image Processing: Machine Vision Applications
Kurt S. Niel; David Fofi, Editor(s)

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