Skin detection using neighborhood information

Skin detection is employed in tasks like face detection and tracking, naked people detection, hand detection and tracking, people retrieval in databases and Internet, etc. However, skin detection is not robust enough for dealing with some real-world conditions, like changing lighting conditions and complex background containing surfaces and objects with skin-like colors. This situation can be improved by incorporating context information in the skin detection process. For this reason in this article a skin detection approach that uses neighborhood information is proposed. A pixel will belong to the skin class only if a direct neighbor does. This idea is implemented through a diffusion process. Two new algorithms implementing these ideas are described and compared with state-of-the-art skin detection algorithms.

[1]  Ahmed M. Elgammal,et al.  Face detection in complex environments from color images , 1999, Proceedings 1999 International Conference on Image Processing (Cat. 99CH36348).

[2]  Anil K. Jain,et al.  Face Detection in Color Images , 2002, IEEE Trans. Pattern Anal. Mach. Intell..

[3]  Clement T. Yu,et al.  Detecting human faces in color images , 1998, Proceedings International Workshop on Multi-Media Database Management Systems (Cat. No.98TB100249).

[4]  Alex Pentland,et al.  Parametrized structure from motion for 3D adaptive feedback tracking of faces , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[5]  Shinjiro Kawato,et al.  Real-time detection of nodding and head-shaking by directly detecting and tracking the "between-eyes" , 2000, Proceedings Fourth IEEE International Conference on Automatic Face and Gesture Recognition (Cat. No. PR00580).

[6]  Eli Saber,et al.  Frontal-view face detection and facial feature extraction using color, shape and symmetry based cost functions , 1998, Pattern Recognit. Lett..

[7]  Richard A. Foulds,et al.  Toward robust skin identification in video images , 1996, Proceedings of the Second International Conference on Automatic Face and Gesture Recognition.

[8]  L. Spillmann,et al.  Visual Perception: The Neurophysiological Foundations , 1989 .

[9]  Tae-Woong Yoo,et al.  A fast algorithm for tracking human faces based on chromatic histograms , 1999, Pattern Recognit. Lett..

[10]  Javier Ruiz-del-Solar,et al.  Real-time tracking of multiple persons , 2003, 12th International Conference on Image Analysis and Processing, 2003.Proceedings..

[11]  Qian Chen,et al.  Face detection by fuzzy pattern matching , 1995, Proceedings of IEEE International Conference on Computer Vision.

[12]  James M. Rehg,et al.  Statistical Color Models with Application to Skin Detection , 1999, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149).

[13]  Jian-Gang Wang,et al.  Frontal-view face detection and facial feature extraction using color and morphological operations , 1999, Pattern Recognit. Lett..

[14]  John R. Kender,et al.  Finding skin in color images , 1996, Proceedings of the Second International Conference on Automatic Face and Gesture Recognition.

[15]  Takeo Kanade,et al.  Name-It: Naming and Detecting Faces in News Videos , 1999, IEEE Multim..

[16]  Edward J. Delp,et al.  An unsupervised color image segmentation algorithm for face detection applications , 2001, Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205).

[17]  Alfredo Gardel Vicente,et al.  Unsupervised and adaptive Gaussian skin-color model , 2000, Image Vis. Comput..

[18]  Birgitta Martinkauppi,et al.  Face colour under varying illumination - analysis and applications , 2002 .

[19]  King Ngi Ngan,et al.  Locating facial region of a head-and-shoulders color image , 1998, Proceedings Third IEEE International Conference on Automatic Face and Gesture Recognition.

[20]  Alexander H. Waibel,et al.  Skin-Color Modeling and Adaptation , 1998, ACCV.

[21]  Ying Dai,et al.  Extraction of Facial Images from the Complex Background Using Color Information and SGLD Matrices , 1996 .

[22]  Weimin Huang,et al.  Face detection based on color and local symmetry information , 1998, Proceedings Third IEEE International Conference on Automatic Face and Gesture Recognition.