W. James MacLean Call for Papers

Computer Vision and Image Understanding Journal (CVIU)

Special Issue on
Spatial Coherence in Visual Motion Analysis

Guest Editors

W. James MacLean, University of Toronto, Canada
Nikos Paragios, Ecole Nationale des Ponts et Chausses, France
David Fleet, University of Toronto, Canada

Motion analysis is a central problem in computer vision,
and the past two decades have seen important advances in
this field. However, visual motion is still often considered
on a pixel-by-pixel basis, even though this ignores the fact
that image regions corresponding to a single object usually
undergo motion that is highly correlated. This independence
is often an explicit assumption that is made when developing
computational models. Models in which such independence is
not assumed, for example Markov Random Fields, are typically
computationally expensive, and therefore many times are not
the model of choice. It must be noted that an implicit
assumption of spatial coherence exists in motion models
employing region based estimates of quantities such as image
gradients. Further, it is often of interest to accurately
measure the boundaries of moving regions. In the case of
articulated motion, especially human motion, discovering
motion boundaries is non-trivial but an important task
nonetheless. Early approaches focused on measuring motion
of either the boundaries or the interior, but seldom both
in unison. In the case of identifying and tracking independent
object motion, such a united approach may be essential, given
the possibly small region subtended by the tracked object(s).
Another related problem is identifying and grouping multiple
disconnected regions moving with similar motions, such as a
flock of geese. In the past several years attempts have been
made to include spatial coherence terms into algorithms for
2- and 3-D motion recovery, as well as motion boundary
estimation.

This special issue will examine the state-of-the-art in
techniques for integrating spatial coherence constraints
during motion analysis on image sequences. While a broad
range of topics will be considered, papers submitted must
make a significant contribution to furthering ability to
take advantage of spatial coherence to produce more accurate
and reliable motion estimates.

Topics for submitted papers include (but are not limited to):

o Bayesian models of spatial coherence
o Belief Propagation
o Generative Models
o Markov random field techniques
o Optic Flow
o Recovery of motion boundaries
o Active contours & boundary tracking
o Motion boundary interpretation and occlusion/disocclusion modeling
o Articulated Motion
o Independent Object Motion
o Visual Tracking
o Layered motion models
o Region segmentation & Motion-based grouping
o Perceptual grouping of pixel motions
o Spatial coherence models for transparency
o Spatial coherence in biological vision
o Human motion analysis
o Use of contextual information in applying spatial coherence
o Local-Parallel computation models for motion
o Graph-Based Methods for Motion Segmentation

All submitted papers will be reviewed according to the guidelines
and standards of the Computer Vision and Image Understanding journal.
We prefer that the authors submit electronic versions of their papers
in postscript or pdf format to W. James MacLean
(maclean+cviu@eecg.toronto.edu). If electronic submission is not
possible then five paper copies may be sent to:

Prof. W. James MacLean,
Edward S. Rogers Sr. Department of Electrical & Computer Engineering,
University of Toronto,
10 King's College Road,
Toronto, ON
M5S 3G4
Canada


Deadlines
Manuscript submission

February 28, 2005
Reviews sent to authors

June 30, 2005
Submission of revised manuscripts

August 31, 2005
Final accept/reject notification

September 30, 2005
Publication date:

Fourth quarter 2005

http://www.eecg.toronto.edu/~maclean/cviu/

For further information please contact
W. James MacLean (maclean+cviu@eecg.toronto.edu).
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| W. James MacLean Electrical & Computer Engineering |
| m a c l e a n @ e e c g . t o r o n t o . e d u |
| Tel: (416) 946-7285 University of Toronto |
| Fax: (416) 946-8734 10 King's College Road |
| www.eecg.toronto.edu/~maclean/ Toronto, Canada M5S 3G4 |
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