Face Detection and Matching for Video Indexing

비디오 인덱싱을 위한 얼굴 검출 및 매칭

  • Islam Mohammad Khairul (Department of Information and Telecommunication Engineering Hankuk Aviation University) ;
  • Lee Sun-Tak (Department of Information and Telecommunication Engineering Hankuk Aviation University) ;
  • Yun Jae-Yoong (Department of Information and Telecommunication Engineering Hankuk Aviation University) ;
  • Baek Joong-Hwan (Department of Information and Telecommunication Engineering Hankuk Aviation University)
  • Published : 2006.06.16

Abstract

This paper presents an approach to visual information based temporal indexing of video sequences. The objective of this work is the integration of an automatic face detection and a matching system for video indexing. The face detection is done using color information. The matching stage is based on the Principal Component Analysis (PCA) followed by the Minimax Probability Machine (MPM). Using PCA one feature vector is calculated for each face which is detected at the previous stage from the video sequence and MPM is applied to these feature vectors for matching with the training faces which are manually indexed after extracting from video sequences. The integration of the two stages gives good results. The rate of 86.3% correctly classified frames shows the efficiency of our system.

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