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Sponsored by IEEE Computer Society |
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Printed proceedings will be available at the workshop
Paper submissions deadline has passed (instructions)
Register through ICCV 2001 registration web site
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)
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See All the People |
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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 |
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Greg T. Kogut, Mohan M. Trivedi Computer Vision and Robotics Research Lab University of California, San Diego San Diego, CA, USA |
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| 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 |
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| 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 |
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| 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.