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.
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Abstract
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.
Item Type: | Conference or Workshop Item (Full Paper) |
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Additional Information: | 5107/28305 |
Uncontrolled Keywords: | Cameras;Field programmable gate arrays;Hardware;Image color analysis;Image resolution;Skin;Streaming media;face recognition;field programmable gate arrays;object detection;table lookup;video signal processing;BRAM;LUT;SystemC;VHDL synthesis;Xilinx Spartan-3 XC35000 FPGA;background elimination;background subtraction;embedded platforms;high resolution video;real time face detection system;real time skin region detector;skin color patches detection;FPGA;background subtraction;skin detection; |
Subjects: | T Technology > T Technology (General) |
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): | Kulliyyah of Engineering |
Depositing User: | Dr Yasir Mohd Mustafah |
Date Deposited: | 22 Jan 2013 13:32 |
Last Modified: | 26 Feb 2013 10:12 |
URI: | http://irep.iium.edu.my/id/eprint/28305 |
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