Markerless View Independent Gait Analysis with Self-camera Calibration
Markerless View Independent Gait Analysis with Self-camera Calibration
We present a new method for viewpoint independent markerless gait analysis. The system uses a single camera, does not require camera calibration and works with a wide range of directions of walking. These properties make the proposed method particularly suitable for identification by gait, where the advantages of completely unobtrusiveness, remoteness and covertness of the biometric system preclude the availability of camera information and use of marker based technology. Tests on more than 200 video sequences with subjects walking freely along different walking directions have been performed. The obtained results show that markerless gait analysis can be achieved without any knowledge of internal or external camera parameters and that the obtained data that can be used for gait biometrics purposes. The performance of the proposed method is particularly encouraging for its appliance in surveillance scenarios.
Goffredo, Michela
21a346d2-8ce6-46b7-883f-89a2c584afc7
Seely, Richard D.
5facdec8-59d4-48ee-971a-ee1219b3608c
Carter, John N.
e05be2f9-991d-4476-bb50-ae91606389da
Nixon, Mark S.
2b5b9804-5a81-462a-82e6-92ee5fa74e12
September 2008
Goffredo, Michela
21a346d2-8ce6-46b7-883f-89a2c584afc7
Seely, Richard D.
5facdec8-59d4-48ee-971a-ee1219b3608c
Carter, John N.
e05be2f9-991d-4476-bb50-ae91606389da
Nixon, Mark S.
2b5b9804-5a81-462a-82e6-92ee5fa74e12
Goffredo, Michela, Seely, Richard D., Carter, John N. and Nixon, Mark S.
(2008)
Markerless View Independent Gait Analysis with Self-camera Calibration.
IEEE International Conference on Automatic Face and Gesture Recognition 2008, Amsterdam, The, Netherlands.
17 - 19 Sep 2008.
Record type:
Conference or Workshop Item
(Poster)
Abstract
We present a new method for viewpoint independent markerless gait analysis. The system uses a single camera, does not require camera calibration and works with a wide range of directions of walking. These properties make the proposed method particularly suitable for identification by gait, where the advantages of completely unobtrusiveness, remoteness and covertness of the biometric system preclude the availability of camera information and use of marker based technology. Tests on more than 200 video sequences with subjects walking freely along different walking directions have been performed. The obtained results show that markerless gait analysis can be achieved without any knowledge of internal or external camera parameters and that the obtained data that can be used for gait biometrics purposes. The performance of the proposed method is particularly encouraging for its appliance in surveillance scenarios.
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Goffredo_-_Markerless_View_Independent_Gait_Analysis_with_Self-camera_Calibration.pdf
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More information
Published date: September 2008
Additional Information:
Event Dates: 17-19 September 2008
Venue - Dates:
IEEE International Conference on Automatic Face and Gesture Recognition 2008, Amsterdam, The, Netherlands, 2008-09-17 - 2008-09-19
Organisations:
Southampton Wireless Group
Identifiers
Local EPrints ID: 266696
URI: http://eprints.soton.ac.uk/id/eprint/266696
PURE UUID: aef4837d-623a-4141-8f40-ca462ccb95ec
Catalogue record
Date deposited: 23 Sep 2008 10:43
Last modified: 15 Mar 2024 02:35
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Contributors
Author:
Michela Goffredo
Author:
Richard D. Seely
Author:
John N. Carter
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