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\title{多層パーセプトロンを用いた肌色ベースの顔検出 \\ Skin Color Based Face Detection Using Multi-Layer Perceptron}
\date{}
\author{法政太郎 (Taro Hosei)\thanks{指導教員：法政花子 教授（\red{准教授の場合は准教授にする}）}}
\affil{
法政大学 情報科学部 〇〇学科\\
taro.hosei@stu.hosei.ac.jp
}

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\begin{abstract}
This  paper  addresses  the  very  complex,  challenging 
problem  of  human  face  detection  in  color  images  with 
complex background and a variety of lighting conditions. 
We  propose  a  new,  skin-color-based  face  detection 
method using a multi-layer perceptron (MLP) as applied 
to  a  two-class  classification  problem  between  “skin-
color” and “non-skin color.” The proposed method has 
two key ideas. One is effective skin color detection using 
MLP trained in a combined HLS and YCbCr color space. 
The  other  is  a  hierarchical,  sequential  process  of  face 
detection:  segmentation  and  grouping  of  skin  regions, 
face  candidate  selection,  and  verification  of  face 
candidates.  This  process  utilizes  not  only  image 
processing  techniques  such  as  connected  component 
analysis,  morphological  operation,  and  contour  tracing 
but  also  the  top-down  knowledge  about  facial 
characteristics such as the aspect ratio of a face and the 
existence of eyes as holes in a skin region. Experimental 
results  using  our  personal  photo  collection  demonstrate 
that  the  proposed  method  achieves  a  high  and 
encouraging  face  detection  rate  of  80.79\%  while 
suppressing a false positive detection rate. 
\end{abstract}

\section{はじめに}
 本論文では、文献\cite{Cook71}に基づき、、、
\section{肌のカラー情報}
\subsection{HLSカラー空間}
\section{実験結果}
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