TOWARDS POSE INVARIANT GAIT RECONSTRUCTION
Spencer, Nicholas and Carter, John (2005) TOWARDS POSE INVARIANT GAIT RECONSTRUCTION. IEEE International Conference On Image Processing, 3, 261-264.
Recently, a lot of research has been conducted into the usefulness of gait for identification at a distance. Since the gait of a person is readily identified when extracted from a canonical side view, most algorithms work with the premise that the motion is frontoparallel in nature, or require some knowledge of the camera calibration. Realistically people will always walk along different trajectories to the camera. In this paper we show that gait has sufficient properties that allows us to exploit the structure of articulated motion within single view sequences, in order to remove the unknown subject pose and reconstruct the underlying gait signature, with no prior knowledge of the camera calibration.
|Keywords:||Gait, Motion reconstruction, Homography|
|Divisions:||Faculty of Physical and Applied Science > Electronics and Computer Science > Comms, Signal Processing & Control
|Date Deposited:||22 Sep 2005|
|Last Modified:||02 Mar 2012 00:39|
|Contributors:||Spencer, Nicholas (Author)
Carter, John (Author)
|Further Information:||Google Scholar|
|ISI Citation Count:||0|
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
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