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What image information is important in silhouette-based gait recognition

What image information is important in silhouette-based gait recognition
What image information is important in silhouette-based gait recognition
Gait recognition has recently gained significant attention, especially in vision-based automated human identification at a distance in visual surveillance and monitoring applications. Silhouette-based gait recognition is the one of the most popular methods for recognising moving shapes. This paper aims to investigate the important features in silhouette-based gait recognition from point of view of statistical analysis. It is shown that the average silhouette includes a static component of gait (head and body) as the most important image part, while dynamic component of gait (swings of legs and arms) is ignored as the least important information. At the same time ignoring dynamic part of gait can result in loss in recognition rate in some cases, and the importance of better motion estimation is underlined.
gait recognition, statistical analysis
Veres, Galina
3c2a37d2-3904-43ce-b0cf-006f62b87337
Gordon, Layla
6e6541cb-70d5-4285-b1a1-9bdbf9248e9b
Carter, John
e05be2f9-991d-4476-bb50-ae91606389da
Nixon, Mark
2b5b9804-5a81-462a-82e6-92ee5fa74e12
Veres, Galina
3c2a37d2-3904-43ce-b0cf-006f62b87337
Gordon, Layla
6e6541cb-70d5-4285-b1a1-9bdbf9248e9b
Carter, John
e05be2f9-991d-4476-bb50-ae91606389da
Nixon, Mark
2b5b9804-5a81-462a-82e6-92ee5fa74e12

Veres, Galina, Gordon, Layla, Carter, John and Nixon, Mark (2004) What image information is important in silhouette-based gait recognition. IEEE Computer Vision and Pattern Recognition conference.

Record type: Conference or Workshop Item (Paper)

Abstract

Gait recognition has recently gained significant attention, especially in vision-based automated human identification at a distance in visual surveillance and monitoring applications. Silhouette-based gait recognition is the one of the most popular methods for recognising moving shapes. This paper aims to investigate the important features in silhouette-based gait recognition from point of view of statistical analysis. It is shown that the average silhouette includes a static component of gait (head and body) as the most important image part, while dynamic component of gait (swings of legs and arms) is ignored as the least important information. At the same time ignoring dynamic part of gait can result in loss in recognition rate in some cases, and the importance of better motion estimation is underlined.

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Published date: 2004
Additional Information: Event Dates: 27.06.04-2.07.04
Venue - Dates: IEEE Computer Vision and Pattern Recognition conference, 2004-06-27
Keywords: gait recognition, statistical analysis
Organisations: Electronics & Computer Science, IT Innovation, Southampton Wireless Group

Identifiers

Local EPrints ID: 259998
URI: https://eprints.soton.ac.uk/id/eprint/259998
PURE UUID: d75e9789-18a7-4abe-874e-285897c4f3c9
ORCID for Mark Nixon: ORCID iD orcid.org/0000-0002-9174-5934

Catalogue record

Date deposited: 01 Oct 2004
Last modified: 17 Sep 2019 01:11

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Contributors

Author: Galina Veres
Author: Layla Gordon
Author: John Carter
Author: Mark Nixon ORCID iD

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