Tracking vehicles (used with permission of Dieter Koller) Tracking body parts (used with permission of Jonathan Deutscher) Tracking blips Tracking people (used with permission of Stephen Intille)

2001 IEEE Workshop on
Multi-Object Tracking

July 8, 2001

Vancouver, BC, Canada

Sponsored by IEEE Computer Society

In association with
2001 IEEE International Conference on Computer Vision

 

Organizing Committee

John Krumm Microsoft Research
David Beymer IBM Almaden Research
Larry Davis University of Maryland
Terry Boult Lehigh University

Program

(modified as of 6 July 2001)

See All the People

9:00 a.m.

"Unified Multi-Camera Detection and Tracking Using Region-Matching"
Anurag Mittal, Larry Davis
University of Maryland
College Park, MD, USA
9:30 a.m. "Frame-Based Tracing of Multiple Objects"
Kardi Teknomo, Yasushi Takeyama, Hajime Inamura
Graduate School of Information Sciences
Tohoku University
Japan
10:00 a.m. "Recognizing Two-Person Interactions in Outdoor Image Sequences"
Koichi Sato, J. K. Aggarwal
Department of Electrical and Computer Engineering
University of Texas at Austin
Austin, TX, USA
10:30 a.m. break 15 minutes


Tracking Multiple Parts

10:45 a.m. "Maintaining the Identity of Multiple Vehicles Traveling Through Large-Scale Video Network"
Greg T. Kogut, Mohan M. Trivedi
Computer Vision and Robotics Research Lab
University of California, San Diego
San Diego, CA, USA
10:45 a.m. "Tracking Body Parts of Multiple People"
Ediz Polat, Mohammed Yeasin, Rajeev Sharma
Department of Computer Science
Pennsylvania State University
University Park, PA, USA
11:15 a.m. "Towards Reliable Real-Time Multiview Tracking"
Yi Li, Adrian Hilton
Centre for Vision, Speech and Signal Processing
University of Surrey
Guildford, UK


Fundamental Techniques

11:45 p.m. "Engineering Statistics for Multi-Object Tracking"
Ronald Mahler
Lockheed Martin Tactical Systems
Eagan, MN, USA
12:15 p.m. lunch (not provided) 1.5 hours
1:45 p.m. "A Particle Filter to Track Multiple Objects"
C. Hue, J.-P. Le Cadre, P. Perez
IRISA
Campus Universitaire de Beaulieu
Rennes Cedex, France
2:15 p.m. "Joint Likelihood Methods for Mitigating Visual Disturbances"
Christopher Rasmussen
Department of Computer Science
Yale University
New Haven, CT, USA
2:45 p.m. "Combined Segmentation and Tracking of Overlapping Objects With Feedback"
T. Kirubarajan, Y. Bar-Shalom
Electrical and Computer Engineering Department
University of Connecticut
Storrs, CT, USA
3:15 p.m. break 15 minutes


See More People

3:30 p.m. "Tracking Multiple People with a Multi-Camera System"
Ting-Hsun Chang, Shaogang Gong
Department of Computer Science
Queen Mary College
London, UK
4:00 p.m. "Multiple Camera Fusion for Multi-Object Tracking"
Shiloh L. Dockstader and A. Murat Tekalp
Department of Electrical Engineering
University of Rochester
Rochester, NY, USA
4:30 p.m. finish

 

Visual tracking is an area of computer vision with many practical applications, and thus it is one of the field's subdisciplines with the biggest potential impact. There are good reasons to track a wide variety of objects, including airplanes, missiles, vehicles, people, animals, and microorganisms. While tracking single objects alone in images has received considerable attention, tracking multiple objects simultaneously is both more useful and more problematic. It is more useful because objects we want to track often exist in close proximity to other similar objects. It is more problematic because the objects of interest can touch, occlude, and interact with each other; they can enter and leave the image; and we must be able to tell them apart. In addition, multiple object tracking must still deal with all the hard problems of single object tracking, including running at a reasonable rate and adapting to changing background conditions.

This workshop is intended to highlight the problems and solutions that distinguish computer-vision-based multi-object tracking from single-object tracking. We want to identify new approaches to these issues from both inside and outside the computer vision community.