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
         
        
        
        
        
        
            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;
         
        
        
        
            Conference_Titel : 
Computer Science & Service System (CSSS), 2012 International Conference on
         
        
            Conference_Location : 
Nanjing
         
        
            Print_ISBN : 
978-1-4673-0721-5
         
        
        
            DOI : 
10.1109/CSSS.2012.571