DEADLINE EXTENSION:

15 AUGUST 2009

Special Issue on
PEOPLE DETECTION AND TRACKING

Springer International Journal of Social Robotics


EDITORS


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:



IMPORTANT DATES



SUBMISSION



LINKS