Head tracking using stereo
Russakoff, D.
Herman, M.
Inf. Access Div., Nat. Inst. of Stand. & Technol., Gaithersburg, MD;
This paper appears in: Applications of Computer Vision, 2000, Fifth IEEE Workshop on.
Publication Date: 2000
On page(s): 254-260
Meeting Date: 12/04/2000 - 12/06/2000
Location: Palm Springs, CA, USA
ISBN: 0-7695-0813-8
References Cited: 6
INSPEC Accession Number: 6806463
Digital Object Identifier: 10.1109/WACV.2000.895430
Current Version Published: 2002-08-06
Abstract
Head tracking is an important primitive for smart environments and
perceptual user interfaces where the poses and movements of body parts
need to be determined. Most previous solutions to this problem are based
on intensity images and, as a result, suffer from a host of problems
including sensitivity to background clutter and lighting variations. Our
approach avoids these pitfalls by using stereo depth data together with
a simple human torso model to create a head tracking system that is both
fast and robust. We use stereo data to derive a depth model of the
background which is then employed to provide accurate foreground
segmentation. We then use directed local edge detectors on the
foreground to find occluding edges which are used as features to fit to
a torso model. Once we have the model parameters, the location and
orientation of the head can be easily estimated. A useful side effect
from using stereo data is the ability to track head movement through a
room in three dimensions. Experimental results on real image sequences
are given
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