Journal of Applied Science and Engineering

Published by Tamkang University Press

ESCI jase impact factor scopus logo open access rate of Scopus journal

Real-Time Patients’ Face Tracking Based on Facial Feature Matching

 2013

 Volume 16, Issue 3

Hsin-Hung Chiang1, Wei-Ming Chen2, Chiou-Shan Chou2 and Han-Chieh Chao2

1Department of Electrical Engineering, National Dong Hwa University, Hualien, Taiwan 974, R.O.C.

2Institute of Computer Science and Information Engineering, National Ilan University, Yilan, Taiwan 260, R.O.C.

Received: February 16, 2013
Accepted: June 28, 2013
Publication Date: September 1, 2013

上傳圖片

Seven feature points (F1~F7) we used.

 Copyright The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.

Download Citation:  BibTeX | http://dx.doi.org/10.6180/jase.2013.16.3.03  

Download PDF

This paper will discuss how to track the faces of patients who only lie in bed with real-time manner. We propose a real-time mechanism to extract and track patients facial features effectively. When camera facing the patient’s face, we will use our DRK (Dynamic Radial Kernel) mechanism to record and match facial features. Then we will collect the information of the patient’s face. It could be provided to doctors for diagnostic aiding. For patients, this mechanism can bring a track record as well as warning function. We hope that this mechanism can provide valuable features of the health-care application.

Keywords: Face Tracking; Feature Extracting; Feature Matching; Health Care

  1. [1] Chen, W. M., Chou, C. S., Lin, Y. L. and Yeh, C. H., “Real-Time Face Tracking Based on Facial Feature Matching,” in Proc. of APSIPA Annual Summit and Conf., Special Session on Image/Video Processing and Analysis, Xi’an, China, Oct. (2011)
  2. [2] Maxwell, B. A., Friedhoff, R. M. and Smith, C. A., “A Bi-Illuminant Dichromatic Reflection Model for Understanding Images,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 1-8 (2008). doi: 10.1109/CVPR.2008.4587491
  3. [3] Soriano, M., Martinkauppi, B., Huovinen, S. and Laaksonen, M., “Skin Color Modeling under Varying Illumination Conditions Using the Skin Locus for Selecting Training Pixels,” Proc. IEEE Nordic Signal Processing Symposium, Kolmården, Sweden (2000).
  4. [4] Soriano, M., Martinkauppi, B., Huovinen, S. and Laaksonen, M., “Skin Detection in Video under Changing Illumination Conditions,” Proc. 15th International Conference on Pattern Recognition, Barcelona, Spain (2000). doi: 10.1109/ICPR.2000.905542
  5. [5] Gonzalez, R. C. and Woods, R. E., Digital Image Processing, 2nd ed. Prentice Hall Press (2002).
  6. [6] Garcia, C. and Tziritas, G., “Face Detection Using Quantized Skin Color Regions Merging and Wavelet Packet Analysis,” Proc. IEEE Trans. On Multimedia, Vol. 1, No. 3, pp. 264-277 (1999). doi: 10.1109/6046.784465
  7. [7] Chen, A. P., Pan, L. A., Tong, Y. B. and Ning, N., “Face Detection Technology Based on Skin Color,” Proc. Second International Workshop on Education Technology and Computer Science, Vol. 2, pp. 708-711 (2010). doi: 10.1109/ETCS.2010.465
  8. [8] Kryszczuk, K. M. and Drygajło, A., “Color Correction for Face Detection Based on Human Visual Perception Metaphor,” Proc. of the Workshop on Multimodal User Authentication, pp. 138-143 (2003).
  9. [9] Lin, Y. P., Chao, Y. P., Lin, C. C. and Chen, J. H., “Webcam Mouse Using Face and Eye Tracking in Various Illumination Environments,” Proc. 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference, Vol. 1-4 (2005). doi: 10.1109/IEMBS.2005.1617296
  10. [10] Soriano, M., Martinkauppi, B., Huovinen, S. and Laaksonen, M., “Using the Skin Locus to Cope with Changing Illumination Conditions in Color-Based Face Tracking,” Proc. IEEE Nordic Signal Processing Symposium, Vol. 13-15, pp. 383-386 (2000).
  11. [11] Minagawa, T., Saito, H. and Ozawa, S., “Face-Direction Estimating System Using Stereo Vision,” Proc. International Conference on Industrial Electronics, Control and Instrumentation, pp. 1454-1459 (1997). doi: 10.1109/IECON.1997.668533