DEADLINE EXTENSION:
15 AUGUST 2009
Special Issue on
PEOPLE DETECTION AND TRACKING
Springer International Journal of Social Robotics
EDITORS
- 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
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
- Submission of Manuscripts **DEADLINE EXTENSION**: 15-August-2009
- Notification of Acceptance: 15-Sep-2009
- Submission of Final Paper: 15-Oct-2009
- Final Publication: 1-Jan-2010
SUBMISSION
- Manuscripts should be submitted here. Please select option "People Detection and Tracking".
- The recommended paper length is 8-14 pages
- Templates for Latex and Word can be found here.
LINKS