Human face detection using motion and color information

Yang-Gyun Kim; Man-Won Bang; Soon-Young Park; Kyoung-Ho Choi; Jeong-Hyun Hwang

doi:10.1117/12.767375

3 March 2008 Human face detection using motion and color information

Yang-Gyun Kim, Man-Won Bang, Soon-Young Park, Kyoung-Ho Choi, Jeong-Hyun Hwang

Proceedings Volume 6813, Image Processing: Machine Vision Applications; 681312 (2008) https://doi.org/10.1117/12.767375
Event: Electronic Imaging, 2008, San Jose, California, United States

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.

Citation Download Citation

Yang-Gyun Kim, Man-Won Bang, Soon-Young Park, Kyoung-Ho Choi, and Jeong-Hyun Hwang "Human face detection using motion and color information", Proc. SPIE 6813, Image Processing: Machine Vision Applications, 681312 (3 March 2008); https://doi.org/10.1117/12.767375

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