SpecialIssue on 'Multi-sensor object detection and
tracking'
Theme of the
special
issue
This specialissue proposes to address some
of the principal signal, image and
videoprocessing
challenges in object tracking, in particular, theory and
practice of algorithms for multi-sensor (including multi-modal)
detection and tracking. The issue
solicits contributions fromresearchers interested in
designing, implementing and testing robust object detection and
tracking algorithms that can be applied to real-world scenarios,
characterized by sudden or gradual changes in the input
statistics. Particular emphasis will be devoted to evaluation
metrics for tracking algorithms that enable the validation and
the comparison of alternative approaches. Papers describing
original research work that reflects the recent theoretical
advances and experimental results as well as open new avenues
for research are invited on all aspects of object detection and
tracking, including:
multi-sensor
detection and tracking
performance
evaluation metrics
target
representation
initialization techniques
model
updating techniques
dynamic
feature selection
robust
statistical techniques
dynamic
background modelling
use of
a-priori information in object detection and tracking
Schedule Deadline for
manuscript submission: October 15, 2006
Notification of acceptance: December
15, 2006
Complete publication materials Due: February 15, 2007
Final decision on acceptance: March 15, 2007
Publication date (tentative): June 2007
Submission
Guidelines
Prospective authors should submit electronically in PDF format
to Dr. Andrea Cavallaro (using the key-word TrackingSIVPRO as
the e-mail subject). Manuscripts should be self-contained and
not exceed 30 double-spaced single column pages typed in 10
points or larger. The first page must contain the title, the
complete author addresses, an abstract of 500 words, and a list
of keywords. All submissions will be peer reviewed for
originality, technical content and relevance to the theme of the
specialissue.
Guest Editor Dr.
Andrea Cavallaro
Department of Electronic Engineering
Queen Mary, University of London
Mile End Road, London E1 4NS (UK)
Tel: +44 20 7882 5165
E-mail: andrea.cavallaro@elec.qmul.ac.uk