{"id":10925,"date":"2026-08-26T20:14:48","date_gmt":"2026-08-26T12:14:48","guid":{"rendered":"\/jase\/?post_type=tkuisotope&p=10925"},"modified":"2026-08-29T18:24:54","modified_gmt":"2026-08-29T10:24:54","slug":"real-time-patients-face-tracking-based-on-facial-feature-matching","status":"publish","type":"tkuisotope","link":"\/jase\/?tkuisotope=real-time-patients-face-tracking-based-on-facial-feature-matching","title":{"rendered":"Real-Time Patients\u2019 Face Tracking Based on Facial Feature Matching"},"content":{"rendered":"\n
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<\/i> 2013<\/a><\/p>\n<\/div>\n\n\n\n

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<\/i> Volume 16, Issue 3<\/a><\/p>\n<\/div>\n\n\n\n

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Hsin-Hung Chiang1<\/sup>, Wei-Ming Chen2<\/sup>, Chiou-Shan Chou2<\/sup> and Han-Chieh Chao2<\/sup><\/i><\/a><\/p>\n\n\n\n

1<\/sup>Department of Electrical Engineering, National Dong Hwa University, Hualien, Taiwan 974, R.O.C.<\/p>\n\n\n\n

2<\/sup>Institute of Computer Science and Information Engineering, National Ilan University, Yilan, Taiwan 260, R.O.C.<\/p>\n<\/div>\n\n\n\n

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Received: February 16, 2013
Accepted: June 28, 2013
Publication Date: September 1, 2013<\/p>\n<\/div>\n<\/div>\n\n\n\n

\"\u4e0a\u50b3\u5716\u7247\"\n\n\n

Seven feature points (F1~F7) we used.<\/p>\n<\/div>\n<\/div>\n\n\n\n

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

Download Citation:  BibTeX <\/a>| http:\/\/dx.doi.org\/10.6180\/jase.2013.16.3.03<\/a>  <\/p>\n\n\n\n

Download PDF<\/a><\/p>\n\n\n\n

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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.<\/p>\n\n\n\n

Keywords: Face Tracking; Feature Extracting; Feature Matching; Health Care<\/em><\/p>\n\n\n\n

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  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)<\/li>\n
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  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<\/li>\n
  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).<\/li>\n
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