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
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 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||