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Towards pose invariant gait reconstruction

Spencer, Nicholas and Carter, John (2005) Towards pose invariant gait reconstruction IEEE International Conference On Image Processing, 3, pp. 261-264.

Record type: Article


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.

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Published date: September 2005
Keywords: Gait, Motion reconstruction, Homography
Organisations: Southampton Wireless Group


Local EPrints ID: 261244
PURE UUID: 99e04f34-6d30-4bbd-af7e-1dc37d4d854e

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Date deposited: 22 Sep 2005
Last modified: 18 Jul 2017 09:03

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Author: Nicholas Spencer
Author: John Carter

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