Earticle

초록

영어

Currently the traffic data of hospital outpatient clinic mainly comes from the hospital management information system, so that the phrase of statistics can only begin after the registration of patients, which lags to a certain extent. This paper firstly makes pre-treatment to the images, and then makes face detection and counting with YCrCb color space algorithm to reflect the traffic of clinic in real time. It is revealed after experiments that, it can help the hospital timely respond to some unpredictable clinic peaks, improve the satisfaction degree of the patients to the hospital, and increase the hospital’s economic and social benefits.

목차

Abstract
 1. Introduction
 2. Domestic and Foreign Research Situation
 3. Algorithm
  3.1. Face Detection with YCrCb Color Space
  3.2 Gray Processing and Pre-Processing
  3.3 Confirmation of Face Area
  3.4 Framing to the Face Area
 4. Experiment
 5. Summary
 References

키워드

저자

• Gong Liheng [ School of Information Science and Engineering, Hebei North University, Zhangjiakou, Hebei, China ]
• Yang Jingjing [ School of Information Science and Engineering, Hebei North University, Zhangjiakou, Hebei, China ]
• Zhang Xiao [ School of Information Science and Engineering, Hebei North University, Zhangjiakou, Hebei, China ] Corresponding Author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Smart Home

• 간기

  격월간

• pISSN

  1975-4094

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605