[robotics-worldwide] Final Program: ICRA 2009 Workshop on People Detection and Tracking

Kai Oliver Arras kai at nurobot.com
Thu Apr 30 09:52:15 PDT 2009



  IEEE ICRA'09 Workshop on People Detection and Tracking


The full-day workshop "People Detection and Tracking" will be held
during the 2009 IEEE International Conference on Robotics and
Automation (ICRA) in Kobe, Japan, on May 12, 2009.


Invited talks:

- Situation Models: A Tool for Observing and Understanding Activity,
   James L. Crowley, Patrick Reignier, Remi Barranquand,
   INRIA Grenoble Research Center

- Visual People Detection: Different Models, Comparison and Discussion
   Bernt Schiele, Mykhaylo Andriluka, Nikodem Majer, Stefan Roth,
   Christian Wojek,
   University of Darmstadt

- A Trained System for Multimodal Perception in Urban Environments,
   Luciano Spinello, Rudolph Triebel, Roland Siegwart,
   ETH Zurich

- Multi-target Tracking on a Large Scale: Experiences from Football
   Player Tracking,
   Josephine Sullivan, Peter Nillius, Stefan Carlsson,
   KTH Stockholm


- Results from a Real-time Stereo-based Pedestrian Detection
   System on a Moving Vehicle,
   Max Bajracharya, Baback Moghaddam, Andrew Howard, Shane Brennan,
   Larry H. Matthies,
   JPL, Caltech

- Motion Planning for People Tracking in Uncertain and Dynamic
   Tirthankar Bandyopadhyay, Nan Rong, Marcelo Ang,
   David Hsu, Wee Sun Lee,
   SMART Centre, University of Singapore

- Improved Multi-Person Tracking with Active Occlusion Handling,
   Andreas Ess, Konrad Schindler, Bastian Leibe, Luc Van Gool,
   RWTH Aachen University, ETH Zurich

- Visual Person Tracking Using a Cognitive Observation Model,
   Simone Frintrop, Achim Koenigs, Frank Hoeller, Dirk Schulz,
   University of Bonn, FKIE Wachtberg

- Multi-model Hypothesis Group Tracking and Group Size Estimation,
   Boris Lau, Kai O. Arras, Wolfram Burgard,
   University of Freiburg

- Spatially Grounded Multi-hypothesis Tracking of People,
   Matthias Luber, Gian Diego Tipaldi, Kai O. Arras,
   University of Freiburg

- Multi-Layer People Detection using 2D Range Data,
   Oscar Martinez Mozos, Ryo Kurazume, Tsutomu Hasegawa,
   University of Zaragoza, University of Kyushu


- Visual Receding Horizon Estimation for Human Presence Detection,
   Damien Brulin, Estelle Courtial, Guillaume Allibert,
   Ecole Nat, Sup, d'Ingenieurs de Bourges, Universite d'Orleans

- Multiple People Detection from a Mobile Robot using Double
   Layered Laser Range Finders,
   Alexander Carballo, Akihisa Ohya, Shin'ichi Yuta,
   University of Tsukuba

- Estimation of Pedestrian Distribution in Indoor Environments
   using Multiple Pedestrian Tracking,
   Muhammad Emaduddinand, Dylan A. Shell,
   University of Southern California

- Improved Human Detection using Image Fusion,
   Erwin T. Gilmore, Preston Frazier, and Mohamed Chouikha,
   Howard University in Washington

- Real-Time Object Tracking and Classification Using a Static Camera,
   Swantje Johnsen, Ashley Tews,
   Hamburg University of Technology, CSIRO Australia

- A Dioptric Stereo System for Robust Real-time People Tracking,
   Ester Martinez, Angel P. del Pobil,
   Jaume-I University Castellon

- Experimental Evaluation of a People Detection Algorithm in Dynamic
   Dario Lodi Rizzini, Stefano Caselli,
   University of Parma

- Robust Stereo-Based Person Detection and Tracking for a Person
   Following Robot,
   Junji Satake, Jun Miura,
   Toyohashi University of Technology

- Stream Field Based People Searching and Tracking Conditioned on SLAM
   Kuo-Shih Tseng, Angela Chih-Wei Tang,
   ITRI Hsinchu, National Central University Taiwan



* Kai O. Arras, University of Freiburg, Germany
* Oscar Martinez Mozos, University of Zaragoza, Spain


* James L. Crowley, INRIA Grenoble Research Center, France
* Bernt Schiele, University of Darmstadt, Germany
* Josephine Sullivan, KTH Stockholm, Sweden
* Luciano Spinello, ETH Zuerich, Switzerland


* Wael Abd-Almageed, University of Maryland, USA
* Wolfram Burgard, University of Freiburg, Germany
* Henrik Christensen, Georgia Institute of Technology, USA
* James L. Crowley, INRIA Grenoble Research Center, France
* Tsutomu Hasegawa, Kyushu University, Japan
* Patric Jensfelt, KTH Stockholm, Sweden
* Ryo Kurazume, Kyushu University, Japan
* Bastian Leibe, RWTH Aachen University, Germany
* Ales Leonardis, University of Ljubljana, Slovenia
* Larry Matthies, NASA, USA
* Bernt Schiele, University of Darmstadt, Germany
* Roland Siegwart, ETH Zurich, Switzerland
* Luciano Spinello, ETH Zurich, Switzerland
* Josephine Sullivan, KTH Stockholm, Sweden

As robots enter more domains in which they interact and cooperate
closely with humans, the capacity of machines to detect and track
humans is becoming a key technology for many areas in robotics.
Socially interact with people, understanding their activities,
tracking pedestrians in public or semi-public spaces or detecting
intruders in a surveillance scenario are examples of tasks that
rely on the ability to robustly detect and track people.

Recent advances in estimation theory, data association, new
techniques from machine learning as well as progress in sensor
technology have enabled us to design people detection and tracking
systems with decent classification rates. 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 or surveillance of public areas.

This workshop brings together key researchers in the domain of
people detection and tracking with an emphasis to unite people
from the 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. We will focus primarily on theoretical
aspects (see list of topics) but are also interested in practical
questions, e.g., pedestrian detection from mobile platforms or

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

* People detection and tracking with vision, laser and/or other
* Tracking of groups of people and/or interacting targets
* 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
* Practical applications: human-robot interaction, activity
   understanding, intelligent cars, surveillance etc.

The workshop proceedings will be published electronically as a pdf

There will be a special issue on people detection and tracking in
the Springer "International Journal of Social Robotics" in
connection with this workshop. We will issue an open call after
the workshop, submissions will go through a separate peer review

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