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16th International Conference on Pattern Recognition (ICPR'02) - Volume 1
Real-Time Multiple People Tracking Using Competitive Condensation
Quebec City, QC, Canada
August 11-August 15
ISBN: 0-7695-1695-X
Heegu Kang, Pohang University of Science and Technology
Daijin Kim, Pohang University of Science and Technology
Sung Yang Bang, Pohang University of Science and Technology
The CONDENSATION algorithm has attracted as it has robust tracking performance and potential of real-time implementation. However the CONDENSATION tracker has difficulty with real-time implementation for multiple people tracking since it requires complicated shape model and large number of samples for precise tracking performance. This paper presents two improvements for real-time multiple object tracking: the discrete shape model with a small search space and the competition rule which requires a small number of samples to track multiple people. We show that they achieve robust and real-time tracking for image sequences of a crowd of people.
Citation:
Heegu Kang, Daijin Kim, Sung Yang Bang, "Real-Time Multiple People Tracking Using Competitive Condensation," icpr, vol. 1, pp.10413, 16th International Conference on Pattern Recognition (ICPR'02) - Volume 1, 2002
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