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3D head pose tracking using a particle filter with nose template matching
Author(s) -
Kubota Hitoshi,
Takeshi Masami,
Saito Hideo
Publication year - 2011
Publication title -
electronics and communications in japan
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.131
H-Index - 13
eISSN - 1942-9541
pISSN - 1942-9533
DOI - 10.1002/ecj.10268
Subject(s) - computer vision , particle filter , artificial intelligence , position (finance) , computer science , tracking (education) , template matching , pose , matching (statistics) , head (geology) , filter (signal processing) , pattern recognition (psychology) , mathematics , image (mathematics) , geology , psychology , pedagogy , statistics , finance , geomorphology , economics
In this paper, we propose a method for real‐time tracking of the driver's head pose in a real vehicle environment by using multiple NIR cameras. In order to achieve real‐time performance and high accuracy, the head pose is estimated with six degrees of freedom by a particle filter with a restricted state space. First, the 3D position of the nostrils is measured by template matching of stereo images. Because the nostrils are the darkest area in the captured NTR images, we can detect the position of the nose robustly and very precisely. From the 3D position of the nose, we can make an initial estimate of the head pose. Then, each hypothesis is updated by prior probability with the constraint of the nose position. Thus, it is possible to reduce the number of particles while maintaining accuracy. Experimental results indicate that this method is effective for head pose tracking. © 2010 Wiley Periodicals, Inc. Electron Comm Jpn, 94(1): 34–42, 2011; Published online in Wiley Online Library ( wileyonlinelibrary.com ). DOI 10.1002/ecj.10268