Object tracking using deformable templates
Yu Zhong
Jain, A.K.
Dubuisson-Jolly, M.-P.
National Robotic Consortiun, Carnegie Mellon Univ., Pittsburgh, PA;
This paper appears in: Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publication Date: May 2000
Volume: 22,
Issue: 5
On page(s): 544-549
ISSN: 0162-8828
References Cited: 24
CODEN: ITPIDJ
INSPEC Accession Number: 6674556
Digital Object Identifier: 10.1109/34.857008
Current Version Published: 2002-08-06
Abstract
We propose a method for object tracking using prototype-based
deformable template models. To track an object in an image sequence, we
use a criterion which combines two terms: the frame-to-frame deviations
of the object shape and the fidelity of the modeled shape to the input
image. The deformable template model utilizes the prior shape
information which is extracted from the previous frames along with a
systematic shape deformation scheme to model the object shape in a new
frame. The following image information is used in the tracking process:
1) edge and gradient information: the object boundary consists of pixels
with large image gradient, 2) region consistency: the same object region
possesses consistent color and texture throughout the sequence, and 3)
interframe motion: the boundary of a moving object is characterized by
large interframe motion. The tracking proceeds by optimizing an
objective function which combines both the shape deformation and the
fidelity of the modeled shape to the current image (in terms of
gradient, texture, and interframe motion). The inherent structure in the
deformable template, together with region, motion, and image gradient
cues, makes the proposed algorithm relatively insensitive to the adverse
effects of weak image features and moderate amounts of occlusion
Index
Terms
Available to subscribers and IEEE members.
References
Available to subscribers and IEEE members.
Citing Documents
Available to subscribers and IEEE members.
Cart
