Journal of the Institute of Electronics Engineers of Korea SC (전자공학회논문지SC)

The Institute of Electronics and Information Engineers (대한전자공학회)
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Face Tracking Method based on Neural Oscillatory Network Using Color Information

컬러 정보를 이용한 신경 진동망 기반 얼굴추적 방법

  • Hwang, Yong-Won (Cognitive Robotics Center, Korea Institute of Science Technology) ;
  • Oh, Sang-Rok (Cognitive Robotics Center, Korea Institute of Science Technology) ;
  • You, Bum-Jae (Cognitive Robotics Center, Korea Institute of Science Technology) ;
  • Lee, Ji-Yong (Cognitive Robotics Center, Korea Institute of Science Technology) ;
  • Park, Mig-Non (Department of Electronic Engineering, Yonsei University) ;
  • Jeong, Mun-Ho (Department of Information and Control Engineering, KwangWoon University)
  • 황용원 (한국과학기술연구원 인지로봇연구단) ;
  • 오상록 (한국과학기술연구원 인지로봇연구단) ;
  • 유범재 (한국과학기술연구원 인지로봇연구단) ;
  • 이지용 (한국과학기술연구원 인지로봇연구단) ;
  • 박민용 (연세대학교 전자공학과) ;
  • 정문호 (광운대학교 정보제어공학과)
  • Received : 2010.10.22
  • Accepted : 2011.03.10
  • Published : 2011.03.25
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Abstract

This paper proposes a real-time face detection and tracking system that uses neural oscillators which can be applied to access regulation system or control systems of user authentication as well as a new algorithm. We study a way to track faces using the neural oscillatory network which imitates the artificial neural net of information handing ability of human and animals, and biological movement characteristic of a singular neuron. The system that is suggested in this paper can broadly be broken into two stages of process. The first stage is the process of face extraction, which involves the acquisition of real-time RGB24bit color video delivering with the use of a cheap webcam. LEGION(Locally Excitatory Globally Inhibitory)algorithm is suggested as the face extraction method to be preceded for face tracking. The second stage is a method for face tracking by discovering the leader neuron that has the greatest connection strength amongst neighbor neuron of extracted face area. Along with the suggested method, the necessary element of face track such as stability as well as scale problem can be resolved.

본 논문은 출입통제시스템이나 사용자인증이 필요한 통제시스템 등에 적용될 수 있는 신경 진동자(Neural Oscillators)를 이용한 실시간 얼굴검출 및 추적에 필요한 새로운 알고리즘을 제안한다. 신경 진동자(Neural Oscillators)는 생물학적 뉴런의 동작원리를 모방한 것으로서 뉴런의 활성과 비활성의 주기적인 반복동작 특성을 모델링 한 인공신경모델이다. 본 논문에서 제안한 시스템은 크게 두 단계의 처리과정을 가진다. 첫 번째 단계는 얼굴검출 과정인데, 우선 비용이 저렴한 Webcam을 이용하여 실시간 전달되는 RGB24bit 컬러 영상을 획득, LEGION(Locally Excitatory Globally Inhibitory) 알고리즘을 이용하여 분할과정을 거쳐 얼굴영역을 검출한다. 두 번째 단계는 검출된 얼굴영역에서 이웃뉴런들로부터 연결강도가 가장 큰 리더뉴런(Max Leader Neuron)을 찾아 얼굴을 추적하는 방법으로 스케일 문제해결 과 안정된 새로운 얼굴 추적 방법을 제안한다.

Keywords

References

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