16th International Conference on Pattern Recognition (ICPR'02) - Volume 2 Temporal PDMs for Gait Classification Quebec City, QC, Canada August 11-August 15 ISBN: 0-7695-1695-X
Gait classification is a developing research area, particularly with regards to biometrics. It aims to use the distinctive spatial and temporal characteristics of human motion to classify differing activities. As a biometric, this extends to recognising different people by the heterogeneous aspects of their gait. This research aims to use a modified deformable model, the temporal PDM, to distinguish the movements of a walking and running person. The movement of 2D points on the moving form is used to provide input into the model and classify the type of gait present.
Citation:
Ezra Tassone, Geoff West, Svetha Venkatesh, "Temporal PDMs for Gait Classification," icpr, vol. 2, pp.21065, 16th International Conference on Pattern Recognition (ICPR'02) - Volume 2, 2002 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||