Detection of human faces in color image sequences with arbitrary motions for very low bit-rate videophone coding

Abstract The problem of human face detection is a focus of interest in image analysis, image databases and video coding. A new multi-resolution method using color and motion information and shape model is developed to detect human faces in videophone QCIF sequences for efficient encoding. The method is based on color segmentation and multiresolution propagation of a geometrical model. A new measure of motion activity is proposed to validate the choice of candidates.

[1]  Thierry Carron,et al.  Color edge detector using jointly hue, saturation and intensity , 1994, Proceedings of 1st International Conference on Image Processing.

[2]  Rama Chellappa,et al.  Human and machine recognition of faces: a survey , 1995, Proc. IEEE.

[3]  Haiyuan Wu,et al.  A fuzzy-theory-based face detector , 1996, Proceedings of 13th International Conference on Pattern Recognition.

[4]  Kyu Ho Park,et al.  Automatic human face location in a complex background using motion and color information , 1996, Pattern Recognit..

[5]  Alexandros Eleftheriadis,et al.  Automatic face location detection for model-assisted rate control in H.261-compatible coding of video , 1995, Signal Process. Image Commun..

[6]  Thomas S. Huang,et al.  Facial feature extraction from color images , 1994, Proceedings of the 12th IAPR International Conference on Pattern Recognition, Vol. 3 - Conference C: Signal Processing (Cat. No.94CH3440-5).

[7]  Haibo Li,et al.  Automatic extraction of human facial features , 1996, Signal Process. Image Commun..

[8]  Dominique Barba,et al.  Image segmentation by region-contour cooperation for image coding , 1992, Proceedings., 11th IAPR International Conference on Pattern Recognition. Vol. III. Conference C: Image, Speech and Signal Analysis,.

[9]  Kyu Ho Park,et al.  A real-time, parallel face recognition on task-level pipelined multicomputer , 1995, 1995 IEEE International Conference on Systems, Man and Cybernetics. Intelligent Systems for the 21st Century.

[10]  Jenny Benois-Pineau,et al.  Region-based representation of video sequences with uniform background motion for a content-based image coding , 1996, Other Conferences.

[11]  Dominique Barba,et al.  Spatio-temporal segmentation of image sequences for object-oriented low bit-rate image coding , 1996, Signal Process. Image Commun..

[12]  A. Murat Tekalp,et al.  Face detection and facial feature extraction using color, shape and symmetry-based cost functions , 1996, Proceedings of 13th International Conference on Pattern Recognition.

[13]  Kiyoharu Aizawa,et al.  Model-based analysis synthesis image coding (MBASIC) system for a person's face , 1989, Signal Process. Image Commun..

[14]  Takeo Kanade,et al.  Neural network-based face detection , 1996, Proceedings CVPR IEEE Computer Society Conference on Computer Vision and Pattern Recognition.