DocumentCode :
584610
Title :
Head Movement Recognition Based on Lucas-Kanade Algorithm
Author :
Zhao, Zheng ; Wang, Yuchuan ; Fu, Shengbo
Author_Institution :
Dept. of Comput. Sci. & Technol., Tianjin Univ., Tianjin, China
fYear :
2012
fDate :
11-13 Aug. 2012
Firstpage :
2303
Lastpage :
2306
Abstract :
This paper researched some methods about head movements recognition, in allusion to some defects in these methods, we raised a new method based on the Lucas-Kande algorithm. In order to identify head movements accurately, in this paper, we detected face first, then located the nostrils, finally tracked the nostrils using Lucas-Kanade optical flow algorithm. The experimental results show that this method is robust and real-time. At the same time, it can recognize the bow and turn face aside well.
Keywords :
face recognition; feature extraction; image sequences; object detection; Lucas-Kanade optical flow algorithm; bow face recognition; face detection; feature tracking; head movements identification; head movements recognition; turn face recognition; Eigenvalues and eigenfunctions; Face; Face recognition; Feature extraction; Tracking; Lucas-Kanade algorithm; feature tracking; head movement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science & Service System (CSSS), 2012 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4673-0721-5
Type :
conf
DOI :
10.1109/CSSS.2012.571
Filename :
6394889
Link To Document :
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