BMVC 2004, Kingston, 7th-9th Sept, 2004
Using Multiple Views To Resolve Human Body Tracking Ambiguities
A. Leykin, F. Cutzu and M. Tuceryan (Indiana University, USA)
This paper outlines the theoretical background and presents a new approach
to human body tracking with monocular static camera. A novel "viewbased
representation" is introduced at the feature extraction stage. We show
that ambiguities in correspondence, such as the ones that occur as the result
of occlusion, can be resolved by using this approach. In particular, we store
color information for each object in a vector of views, where the number
of elements is determined online, using unsupervised clustering followed by
the cluster validity assessment. Based on this representation a tracking system
was developed. The prelimiary results presented show the discriminative
potential of the proposed system.
(pdf article)