[robotics-worldwide] CfP: Special Issue on People Detection and Tracking (J. Social Robotics)

Oscar Martinez omozos at googlemail.com
Thu Jun 18 01:40:19 PDT 2009


CALL FOR PAPER

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 Special Issue on PEOPLE DETECTION AND TRACKING
 Springer International Journal of Social Robotics

 http://www.informatik.uni-freiburg.de/~omartine/stuff/IJSR_special_issue09.html
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EDITORS
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* Kai O. Arras, Social Robotics Lab,
  University of Freiburg, Germany

* Oscar Martinez Mozos, Robotics and Real-Time Group,
  University of Zaragoza, Spain


GOAL AND SCOPE
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As robots enter domains in which they interact and cooperate closely
with humans, the ability of machines to detect and track humans is
becoming a key technology for many areas in robotics. Interaction with
people, recognition and understanding of human activities, pedestrians
tracking or intruder detection are example tasks that rely heavily on
the ability to robustly detect and track people.

Recent advances in estimation theory, machine learning and computer
vision as well as progress in sensor technology have enabled us to
design people detection and tracking systems with good levels of
robustness. However, there is great demand for even more robust
systems, especially over a wider range of conditions, and an
increasing interest from industry for intelligent cars, domestic
robots or surveillance of public areas.

After a very successful ICRA 2009 workshop on people detection and
tracking, this special issue aims to bring together contributions from
the computer vision community and the community that has mostly worked
with range finders. The goal is to provide a representative survey of
the state-of-the-art and to transfer knowledge within and across the
communities. The issue will focus primarily on theoretical aspects
(see list of topics) but we are also interested in practical questions
and applications.


TOPICS
------
Examples of topics of interest include, but are not limited to:

* People detection and tracking with vision, laser and/or
  other sensors
* Tracking of groups of people and/or interacting targets
* Full body pose estimation and tracking
* Human motion modeling and estimation in 2d and 3d
* Learning and model-based approaches
* Probabilistic frameworks for simultaneous segmentation,
  detection and tracking
* Multi-sensor fusion/integration approaches
* Advanced target tracking and data association methods
* Advanced handling of occlusion, fragmentation, and merging
* Multi-hypothesis model selection methods
* Distributed sensors for people detection/tracking
* Performance metrics and evaluation of people tracking systems
* Applications: human-robot interaction, human activity
  recognition and understanding, intelligent cars, surveillance etc.


IMPORTANT DATES
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* Submission of Manuscripts: 1-August-2009
* Notification of Acceptance: 15-Sep-2009
* Submission of Final Paper: 15-Oct-2009
* Final Publication: 1-Jan-2010


SUBMISSION
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* Manuscripts should be submitted to
  http://www.editorialmanager.com/soro.
  Please select option "People Detection and Tracking"

* The recommended paper length is 8-14 pages

* Templates for Latex and Word:
  http://www.springer.com/engineering/robotics/journal/12369
  ?detailsPage=contentItemPage&CIPageCounter=512809
  (remove line break for full address)


LINKS
-----

* Up to date information about the special issue:
  http://www.informatik.uni-freiburg.de/~omartine/stuff/IJSR_special_issue09.html

* International Journal of Social Robotics:
  http://www.springer.com/engineering/robotics/journal/12369

* ICRA 2009 Workshop:
  http://srl.informatik.uni-freiburg.de/conferences/icra09ws


Contact information:

Kai O. Arras:  arras at informatik.uni-freiburg.de
Oscar Martinez Mozos: ommozos at unizar.es


-- 
-----------------------------------------------
Oscar Martinez Mozos
Robotics, Perception and Real Time Group
Department of Computer Science and System Engineering

Centro Politecnico Superior (CPS)
Edificio Ada Byron
C/Maria de Luna, 3
E-50018 Zaragoza
Spain

Email: omozos at gmail.com

http://www.informatik.uni-freiburg.de/~omartine
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