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http://dx.doi.org/10.7471/ikeee.2012.16.4.375

An Efficient Face Detection Method using Skin Color Information and Parallel Processing in Multi-Core SoC  

Kim, Hong-Hee (Dept. of Computer Engineering, Hanbat University)
Lee, Jae-Heung (Dept. of Computer Engineering, Hanbat University)
Publication Information
Journal of IKEEE / v.16, no.4, 2012 , pp. 375-381 More about this Journal
Abstract
In this paper, we present an implementation of Viola-Jones algorithm in a multi-core SoC by using skin color information and a parallel processing method. In order to reduce unnecessary operations and improve the detection speed, we adopted a face detection algorithm based on skin color and deleted background image. The algorithm is functionally divided into several parts taking account of the size and the dependency so that the divided functions can be proceeded in parallel. Experiment results in SoC with built-in Cortex-A9 multi core show that it is about 1.8 times faster than the existing algorithm which is not divided.
Keywords
Embedded System; Face Detection; Multi-Core; Parallel processing; Haar-like feature;
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