Spencer, Nicholas and Carter, John (2005) TOWARDS POSE INVARIANT GAIT RECONSTRUCTION IEEE International Conference On Image Processing, 3, pp. 261-264.


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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.

Item Type: Article
Keywords: Gait, Motion reconstruction, Homography
Organisations: Southampton Wireless Group
ePrint ID: 261244
Date :
Date Event
September 2005Published
Date Deposited: 22 Sep 2005
Last Modified: 17 Apr 2017 22:00
Further Information:Google Scholar

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