scholarly journals Scatter Search Particle Filter for 2D Real-Time Hands and Face Tracking

Author(s):  
Juan José Pantrigo ◽  
Antonio S. Montemayor ◽  
Raúl Cabido
2013 ◽  
Vol 06 (05) ◽  
pp. 1-5 ◽  
Author(s):  
Wei-Ming Chen ◽  
Yi-Lung Lin ◽  
Ya-Hsiung Hsieh

2014 ◽  
Vol 651-653 ◽  
pp. 2306-2309
Author(s):  
Dong He Yang

In view of the traditional particle filter algorithm cannot guarantee effective tracking in the case of target rotation or obscured. The study proposes a tracking method based on α-β-γ filter and particle filter. The algorithm uses α-β-γ filtering prediction position as the next frame image target candidate model of computing center of particle filter algorithm. The algorithm uses α-β-γ filtering prediction position as the next frame image target candidate model of computing center of particle filter. To reduce the number of iterations of particle filter algorithm, strengthen the real-time tracking of moving face. When detect the face is obscured, with α-β-γ filter prediction point as facial movement position, so as to realize the continuity of the movement. The experimental results show that the proposed algorithm improves the traditional particle filter for real-time face tracking, enhancing the ability of anti-occlusion.


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