A block-based face detection algorithm for the efficient video coding of a videophone

효율적인 화상회의 동영상 압축을 위한 블록기반 얼굴 검출 방식

  • Published : 2004.09.01

Abstract

We propose a new fast, algorithm which is used for detecting frontal face in the frequency domain based on human skin-color using OCT coefficient of dynamic image compression and skin color information. The region where each pixel has a value of skin-color were extracted from U and V value based on DCT coefficient obtained in the process of Image compression using skin-color map in the Y, U, V color space A morphological filter and labeling method are used to eliminate noise in the resulting image We propose the algorithm to detect fastly human face that estimate the directional feature and variance of luminance block of human skin-color Then Extraction of face was completed adaptively on both background have the object analogous to skin-color and background is simple in the proposed algorithm The performance of face detection algorithm is illustrated by some simulation results earned out on various races We confined that a success rate of 94 % was achieved from the experimental results.

비디오화상회의 시스템을 위하여 동영상 압축 DCT 계수와 피부색정보를 이용하여 주파수 영역에서 정연 얼굴 을 실시간으로 검출하는 알고리즘을 제안한다. 동영상 압축과정 중에 얻어지는 DCT계수 값의 U 와 V 색상정보로 피부색 범위를 추출하며 잡음성분제거를 위해 형태학적필터와 Labeling을 적용하고 피부색블록의 방향성과 평탄도를 고려하여 검출하였다. 제안 알고리즘은, 배경에 피부색과 유사한 객체가 있는 경우와 배경이 단순한 경우에 대 해 적응적으로 검출이 가능하도록 하였다 여러 인종에 대한 모의실험결과 제안 알고리즘이 약 94% 의 검출 성공률을 보였다.

Keywords

References

  1. M-H, Yang, D Kriegman, and N.Ahuja, 'Dete cting Faces in Images : A Survey,' IEEE Trans on Pattern Analysis and Machine Intellig ence, vol.24, no.l, pp.34-58, Jan 2001
  2. G.Yang and T. S. Huang,'Human face Detection in a complex background,'Pattem Recognition, vol.27, no.l, pp.53-63, 1994 https://doi.org/10.1016/0031-3203(94)90017-5
  3. N. Herodotou, K. N. Plataniotis and A. N. Venetsanopoulos, 'Automatic Location and Tracking of the Facial Region in Color Video Seque nces,' Signal Processing : Image Communication, vol. 14, no. 5, pp.359-388, 1999 https://doi.org/10.1016/S0923-5965(98)00018-6
  4. K. Sobottka, I. Pitas, 'Segmentation and Trac king of Face in color image,' Proceedings of the Second International Conference on Auto matic Face and Gesture Recognition, pp.236-241, 1996
  5. D.Chai and K.N.Ngan, 'Face Segmentation Using SkinColor Map in Videophone Application' IEEE Trans on Circuit and System for Video Tech., pp.551-564, June 1999
  6. ISO/IEC/SC29/WGll, 'MPEG-4 Video Verific ation Model version 18.0,' ISO, Jan 2001
  7. Y. S. Ho and A. Gersho, 'Classified transform coding of images using vector quantization,' IEEE int. Conf. ASSP, pp.1890-1893,May1999 [8] A. Murat Tekalp 'Digital Video Processing,' Prentice Hall, 1995