Rapid face detection algorithm of color images under complex background

  • Authors:

  • Chuan Wan;Yantao Tian;Hongwei Chen;Xinzhu Wang

  • Affiliations:

  • School of Communication Engineering, Jilin University, Changchun,;School of Communication Engineering, Jilin University, Changchun and Key Laboratory of Bionic Engineering, Ministry of Education Jilin University;School of Communication Engineering, Jilin University, Changchun,;School of Communication Engineering, Jilin University, Changchun,

  • Venue:
  • ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part II
  • Year:
  • 2011

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Abstract

Human face detection plays an important role in applications such as video surveillance, human computer interface, face recognition, and face image database management. We propose a face detection algorithm for color images in the presence of varying lighting compensation technique and we segment the skin color of the face image with the improved skin color model which is in the space of YCrCb, and then find the human face in a small area using the template matching method. The application on the skin color information is add to the face detection algorithm, the purpose of which is to pre-judge whether the image exist a face, thus we can exclude non-skin regions to reduce the space to search and improve the efficiency of the face detection algorithm. This paper proposed various adaptive templates to overcome the shortcomings of poor adaptability, the scale of the template can be seized to adjust the size of the area, so the adaptability of template can be increased.