Browse > Article
http://dx.doi.org/10.9708/jksci.2013.18.11.167

Face Tracking Using Face Feature and Color Information  

Lee, Kyong-Ho (School of Information & Communication Engineering, Halla University)
Publication Information
Journal of the Korea Society of Computer and Information / v.18, no.11, 2013 , pp. 167-174 More about this Journal
Abstract
TIn this paper, we find the face in color images and the ability to track the face was implemented. Face tracking is the work to find face regions in the image using the functions of the computer system and this function is a necessary for the robot. But such as extracting skin color in the image face tracking can not be performed. Because face in image varies according to the condition such as light conditions, facial expressions condition. In this paper, we use the skin color pixel extraction function added lighting compensation function and the entire processing system was implemented, include performing finding the features of eyes, nose, mouth are confirmed as face. Lighting compensation function is a adjusted sine function and although the result is not suitable for human vision, the function showed about 4% improvement. Face features are detected by amplifying, reducing the value and make a comparison between the represented image. The eye and nose position, lips are detected. Face tracking efficiency was good.
Keywords
Face Tracking; Skin color detection; Face Factor Detection;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
연도 인용수 순위
1 M. H. Yang, D. Kriegman, N. Ahuja. "Detecting Face in Images: A Survey," IEEE Transaction on Pattern Analysis and Machine Intelligence, Vol. 24, No. 1, pp. 34-58, 2002.   DOI   ScienceOn
2 C. C. Chiang, W. K. Tai, M. T. Y. T. Yang, C. J. Huang, "A Novel Method for Detecting Lips, Eyes and Faces in Real Time," Real-Time Imaging, pp. 277-287, 2003.
3 K. H. Lee, R. Yang, S. B. Rhee, "Automatic Speechreading Feature Detection Using Color Information", Vol. 13, No. 6, 2008.   과학기술학회마을
4 K. H. Lee, R. Yang, S. O. Kim, "A Study on Speechreading about the Korean 8 Vowel", KSCI, Vol. 14, No. 3, 2009.
5 W. Y. Kim, Y. H. Seo, D. W. Kim, "Template-Matching-based High-Speed face Tracking Method using Depth information", JOURNAL OF BROADCAST ENGINEERING, Vol. 18, No. 3, pp. 349-361, 2013   과학기술학회마을   DOI   ScienceOn
6 O. Gonzalez, D. Diaz-Pernas, F. J. Anton-Rodri guez, M. Martinez-Zarzuela, M. Diez-Higuera, "MLP-based face recognition with Gabor filters and PCA", Pattern recognition and image analysis : advances in mathematical theory and applications in the USSR, Vol. 23 No. 1, pp. 10-25, 2013
7 S. K. Oh, B. H. Jang, "Design of Optimized pRBFNNs-based Night Vision Face Recognition System Using PCA Algorithm", IEEK, Vol. 50, No. 1, pp. 225-231, 2013.   과학기술학회마을   DOI   ScienceOn
8 T.E. Campos, R.S. Feris, E. M. J. Cesar, "Eigenfaces versus Eigeneyes: First Step Toward Performance Assessment of Representations for Face Recognition," Lecture Notes in Artificial Intelligence, MICAI 2000, LNAI 1793, pp. 197-206, 2000.
9 R. L. Hsu, M. Abdel-Mottaleb, K. J. Anil, "Face Detection in Color Images," IEEE Trans. on Pattern Analysis, Vol. 24, No. 5, pp. 696-706, 2002.   DOI   ScienceOn
10 Tziritas, G.C., "Face Detection Using Quantities Skin Color Region Merging and Wavelet Packet Analysis," IEEE Transactions on Multimedia, Vol. 1, No. 3, pp. 264-277, 1999.   DOI   ScienceOn
11 R. L. Hsu, M. Abdel-Mottaleb, A. K. Jain, "Face Detection in Color Images", IEEE Trans. on Pattern Analysis, Vol. 24, No. 5, pp. 696-706, 2002   DOI   ScienceOn