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Techniques for orientation independent gait analysis

Record type: Thesis (Doctoral)

Gait recognition algorithms are being increasingly widely researched, however a common assumption is that the subject will be presented side on to the camera. In practice it may not be possible to capture data from this view, so a useful gait recognition algorithm will have to provide a measure of orientation independence. Three gait recognition algorithms are examined and found to perform poorly with nonnormal orientation. The complex detail used for recognition can not be translated between orientations in a holistic silhouette manner. It is shown that orientation independent features can be extracted using a human model. The algorithm is developed and tested on live captured data and found to perform better across orientations than silhouette based approaches. The performance recorded at a single orientation is lower than that of other approaches, however only the motion of the subject is currently used for recognition. More accurate motion estimation will increase performance as will the inclusion of other model based features.

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Citation

Boston, Robert Trevor (2008) Techniques for orientation independent gait analysis University of Southampton, School of Electronics and Computer Science, Doctoral Thesis , 117pp.

More information

Published date: October 2008
Organisations: University of Southampton

Identifiers

Local EPrints ID: 64476
URI: http://eprints.soton.ac.uk/id/eprint/64476
PURE UUID: ff3b8636-4f2d-4660-bd47-6213565c96e2

Catalogue record

Date deposited: 07 Jan 2009
Last modified: 17 Jul 2017 14:13

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Contributors

Author: Robert Trevor Boston
Thesis advisor: John Carter

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