Electronic Science and Technology ›› 2020, Vol. 33 ›› Issue (2): 25-31.doi: 10.16180/j.cnki.issn1007-7820.2020.02.005

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Research on Face Detection Algorithm Based on Video

WANG Xin,WU Wei,ZENG Zhao   

  1. School of Electronic Information,Hangzhou Dianzi University,Hangzhou 310018,China
  • Received:2019-01-18 Online:2020-02-15 Published:2020-03-12
  • Supported by:
    National Natural Science Foundation International Regional Cooperation and Exchange Funding Project(61411136003)


Aiming at the shortcomings of the traditional AdaBoost algorithm in detecting high false detection rate in video, an improved face detection algorithm combining motion analysis and skin color detection was proposed. The proposed method extracted motion prospects through motion detection, and selected the skin color model to obtain the similarity of the face skin color, and further narrowed the detection range by using the geometric features. The face candidate region was detected in real time detection the improved AdaBoost algorithm which was added with new Haarfeatures and improved weight update mode.The experimental results showed that compared with the traditional AdaBoost method and the AdaBoost method with skin color detection, the false detection rate of this method was reduced by 18.68% and 8.79% respectively, and the detection time was shortened by about 800 ms and 250 ms, respectively.

Key words: face detection, motion analysis, skin color model, AdaBoost algorithm, Haar feature, weight update

CLC Number: 

  • TP391.41