Skin region detector for real time face detection system

In this paper we present a real-time skin region detection method for high resolution video on embedded platforms. In the implementation, the region of interest is detected using two algorithms, running in parallel. One algorithm eliminates the background and the other one, detects the skin color pa...

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Main Authors: Mohd Mustafah, Yasir, Azman, Amelia Wong
Format: Proceeding Paper
Language:English
Published: 2012
Subjects:
Online Access:http://irep.iium.edu.my/28305/1/Skin_Region_Detector_for_Real_Time_Face_Detection_System.pdf
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author Mohd Mustafah, Yasir
Azman, Amelia Wong
author_facet Mohd Mustafah, Yasir
Azman, Amelia Wong
author_sort Mohd Mustafah, Yasir
collection IIUM
description In this paper we present a real-time skin region detection method for high resolution video on embedded platforms. In the implementation, the region of interest is detected using two algorithms, running in parallel. One algorithm eliminates the background and the other one, detects the skin color patches in the image. To allow images to be processed rapidly on hardware, several techniques were employed to improve the speed and reduce the required memory requirement of the algorithm. Experimental results show that the background subtraction and skin detection are comparable to previously published methods. Moreover, the combination of the two can improve the detection result significantly. The implementation and functional simulation of the modules was based on SystemC and from the VHDL synthesis, the module occupied only 9 of LUTs and 20 BRAM on a Xilinx Spartan-3 XC35000 FPGA.
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spelling oai:generic.eprints.org:283052013-02-26T02:12:22Z http://irep.iium.edu.my/28305/ Skin region detector for real time face detection system Mohd Mustafah, Yasir Azman, Amelia Wong T Technology (General) In this paper we present a real-time skin region detection method for high resolution video on embedded platforms. In the implementation, the region of interest is detected using two algorithms, running in parallel. One algorithm eliminates the background and the other one, detects the skin color patches in the image. To allow images to be processed rapidly on hardware, several techniques were employed to improve the speed and reduce the required memory requirement of the algorithm. Experimental results show that the background subtraction and skin detection are comparable to previously published methods. Moreover, the combination of the two can improve the detection result significantly. The implementation and functional simulation of the modules was based on SystemC and from the VHDL synthesis, the module occupied only 9 of LUTs and 20 BRAM on a Xilinx Spartan-3 XC35000 FPGA. 2012-07 Proceeding Paper PeerReviewed application/pdf en http://irep.iium.edu.my/28305/1/Skin_Region_Detector_for_Real_Time_Face_Detection_System.pdf Mohd Mustafah, Yasir and Azman, Amelia Wong (2012) Skin region detector for real time face detection system. In: International Conference on Computer and Communication Engineering (ICCCE 2012), 3-5 July 2012, Seri Pacific Hotel Kuala Lumpur. http://ieeexplore.ieee.org/xpl/articleDetails.jsp?reload=true&arnumber=6271269&contentType=Conference+Publications
spellingShingle T Technology (General)
Mohd Mustafah, Yasir
Azman, Amelia Wong
Skin region detector for real time face detection system
title Skin region detector for real time face detection system
title_full Skin region detector for real time face detection system
title_fullStr Skin region detector for real time face detection system
title_full_unstemmed Skin region detector for real time face detection system
title_short Skin region detector for real time face detection system
title_sort skin region detector for real time face detection system
topic T Technology (General)
url http://irep.iium.edu.my/28305/1/Skin_Region_Detector_for_Real_Time_Face_Detection_System.pdf
work_keys_str_mv AT mohdmustafahyasir skinregiondetectorforrealtimefacedetectionsystem
AT azmanameliawong skinregiondetectorforrealtimefacedetectionsystem