IEMEK Journal of Embedded Systems and Applications (대한임베디드공학회논문지)

Institute of Embedded Engineering of Korea (대한임베디드공학회)
권호 표지
DOI QR코드

DOI QR Code

A Study of Face Feature Tracking and Moving Measure Devices

얼굴 특징점 추적 및 움직임 측정도구

  • Received : 2011.02.09
  • Accepted : 2011.04.28
  • Published : 2011.10.31
Download PDF
⟨ Previous Next ⟩

Abstract

This paper proposes facial feature tracking based on modified ART2 neural networks. And we also suggest new measurement devices such as 'Persistence Exponent' and 'Moving Space Exponent' for the criterion of input vector which consists features. The proposed methods have been applied to classify 48 students by 2-class (ADHD positive, ADHD negative). The results of the experiment have shown that the proposed methods are effective for ADHD Behavior Pattern Classification based on the Image Processing.

Keywords

References

  1. G. Xu and T. Sugimoto, "'Rits eye: a software-based system for real-time face detection and tracking using pan-tilt-zoom controllable camera", Proc. of International Conference on Pattern Recognition, Vol.2, pp. 1194-1197, 1998.
  2. K. C. Jin and J. H. Cho, "Automatic face feature tracking", Proc. of the 1999 IEEE Region 10 Conference TENCON'99, Vol.1, pp. 68-71, Korea, 1999.
  3. 신윤희, 강신국, 김은이, "얼굴 특징 추적을 이용한 인터페이스 구현", 한국정보과학회 학술발표 논문집, pp. 274-276, 2006.
  4. 이경미, "이질적 템플릿 매칭의 융합을 이용한 얼굴 영역 검출", 함국콘텐츠학회논문지, Vol.7, No.12, pp. 311-321, 2007.
  5. A.Lanitis, C. J. Taylor, and T. F. Cootes. "An automatic face identification system using flexible appearance models", Image and Vision Computing, Vol.13, No.5, pp. 393-401, 1995. https://doi.org/10.1016/0262-8856(95)99726-H
  6. P. Viola and M. Jones, "Robust real-time object detection", International Journal of Computer Vision., pp. 137-154, 2002.
  7. R. Lienhart and J. Maydt, "An extended set of haar-like features for rapid object detection", IEEE IClP, Vol.1, pp. 900-903, 2002.
  8. 주진선, 신윤희, 김은이, "다중 얼굴 특징 추적을 이용한 복지형 인터페이스", 전자공학회 논문지 Vol.45, No.1, pp. 75-83, 2008.
  9. J. Shlens "A Tutorial on principal component analysis", 2005.
  10. Q. Wang, C. Zhao and J. Yang, "Robust facial feature location on gray intensity face", PSIVT, LNCS, Springer, Heidelberg VoI.5414, pp. 542-549, 2009.
  11. M. H. Yang, D. Kriegman. and N. Ahuja, "Detecting faces in images: a survay", IEEE Transaction on Pattern Analysis and Machine Intelligence, VoI.24, No.1, pp. 34-58. 2002. https://doi.org/10.1109/34.982883
  12. A. L. Yuille, P. W. Hallinan and D. S. Cohen, "Feature extraction from faces using deformable templates", International Journal of Computer Vision, pp. 99-111, 2003.
  13. C. L. Huang and C. W. Chen, "Human facial feature extraction for face Intepretation and recogniation", Pattern Recognition, Vol.25, No.12, pp. 1435-1444, 2005.
  14. S. Y. Kung, "Digital neural networks", Prentice Hall, Intenational, Inc, 1993.