제어로봇시스템학회논문지 (Journal of Institute of Control, Robotics and Systems)

  • 제21권2호
  • /
  • Pages.102-107
  • /
  • 2015
  • /
  • 1976-5622(pISSN)
  • /
  • 2233-4335(eISSN)
제어로봇시스템학회 (Institute of Control, Robotics and Systems)
권호 표지
DOI QR코드

DOI QR Code

자동차 안전을 위한 히스토그램 이용 졸음 감지 시스템 개발

Development of a Drowsiness Detection System using a Histogram for Vehicle Safety

  • 강수민 (단국대학교 전자공학과) ;
  • 허경무 (단국대학교 전자공학과) ;
  • 주영복 (한국기술교육대학교 컴퓨터공학부)
  • Kang, Su Min (Department of Electronics Engineering, Dankook University) ;
  • Huh, Kyung Moo (Department of Electronics Engineering, Dankook University) ;
  • Joo, Young-Bok (Department of Computer Science & Engineering, Korea University of Technology & Education)
  • 투고 : 2014.11.15
  • 심사 : 2014.12.30
  • 발행 : 2015.02.01
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

In this paper, we propose a technique of drowsiness detection using a histogram for vehicle safety. The drowsiness of vehicle drivers is often the main cause of many vehicle accidents. Therefore, the checking of eye images in order to detect the drowsiness status of a driver is very important for preventing accidents. In our suggested method, we analyse the changes of a histogram of eye region images which are acquired using a CCD camera. We develop a drowsiness detection system using this histogram change information. The experimental results show that the proposed method enhances the accuracy of detecting drowsiness to nearly 97%, and can be used to prevent accidents due to driver drowsiness.

키워드

참고문헌

  1. M. Chau and M. Betke, "Real time eye tracking and blink detection with USB cameras," Boston University Computer Science Technical Report, Dec. 2005.
  2. L. G. Kourkoutis, K. I. Panoulas, and L. J. Hadjileontiadis, "Automated iris and gaze detection using chrominance: application to human-computer interaction using a low resolution webcam," IEEE International Conference on Tools with Artificial Intelligence, vol. 1, pp. 536-539, Nov. 2007.
  3. J.-I. Kim, H.-S. Ahn, G.-M. Jeong, and Chan-Woon, "Estimation of a driver's physical condition using real- time vision system," The Journal of the Institute of Webcasting, Internet and Telecommunication, pp. 213-224, Oct. 2009.
  4. H. Park, Y. Jung, Y. Song, I. Kang, H. Jung, J. Seol, S. Ra, and C. Bae, "Detection of visual parameter for drowsy driving prevention," Conference of the Korean institute of Communications and information Sciences, pp. 2028-2031, Jun. 2005.
  5. Y. H. Joo, J. K. Kim, and I. H. Ra, "Intelligent drowsiness drive worning system," Journal of Intelligence and information System, vol. 18, no. 2, pp. 223-229, Apr. 2008.
  6. M. H. Yang, D. J. Kriegman, and N. Ahuja, "Detecting faces in images: a survey," IEEE PAMI, vol. 24, no. 1, pp. 34-M8, Jan. 2002. https://doi.org/10.1109/34.982883
  7. J.-M. Choi, H. Song, S. H. Park, and C.-D. Lee, "Implementation of driver fatigue monitoring system," The Journal of the Institute of Webcasting, Internet and Telecommunication, vol. 37, no. 8, pp. 711-720, Aug. 2012.
  8. G.-J. Han, W. Shi, K.-S. Lew, and Y.-D. Kim, "Implementation of automatic system preventing from the accidents of drowsy driving using Image process and two sensors," Integrated Summer Conference of the Institute of Electronics and Information Engineers, pp. 1160-1161, Jul. 2009.
  9. K. M. Huh, "A face expression recognition method using histograms," Journal of Institute of Control, Robotics and Systems, pp. 520-525, May 2014.
  10. K. M. Huh, "A method of improving accuracy of histogram specification," Journal of Institute of Control, Robotics and Systems (in Korean), pp. 175-179, Feb. 2014.

피인용 문헌

  1. Multiple-Background Model-Based Object Detection for Fixed-Embedded Surveillance System vol.21, pp.11, 2015, https://doi.org/10.5302/J.ICROS.2015.15.0157