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Fusion analysis of soft biometrics for recognition at a distance

Fusion analysis of soft biometrics for recognition at a distance
Fusion analysis of soft biometrics for recognition at a distance
There are many new soft biometric approaches though
few are used for identification, especially at a distance. We
create a new soft biometric database containing the human
face, body and clothing attributes at three different
distances. One aim of this paper is to explore the potency of
face, body and clothing for human recognition using fusion.
Another aim is to explore the suitability for each modality
at a distance: intuitively face is suited to near field
identification and body when the subject is further away.
The new database and the soft biometric features used are
clarified and the influence of distance on soft biometric
traits is investigated. Results show the individual
advantages and disadvantages of face, body and clothing
traits and demonstrate the superiority of fusion method in
human recognition compared with single-modality.
Guo, Bingchen
6e425926-551d-40c2-9c12-e2509d76baa2
Nixon, Mark
2b5b9804-5a81-462a-82e6-92ee5fa74e12
Carter, John
e05be2f9-991d-4476-bb50-ae91606389da
Guo, Bingchen
6e425926-551d-40c2-9c12-e2509d76baa2
Nixon, Mark
2b5b9804-5a81-462a-82e6-92ee5fa74e12
Carter, John
e05be2f9-991d-4476-bb50-ae91606389da

Guo, Bingchen, Nixon, Mark and Carter, John (2018) Fusion analysis of soft biometrics for recognition at a distance. IEEE International Conference on Identity, Security and Behavior Analysis 2018. 11 - 12 Jan 2018. 8 pp.

Record type: Conference or Workshop Item (Paper)

Abstract

There are many new soft biometric approaches though
few are used for identification, especially at a distance. We
create a new soft biometric database containing the human
face, body and clothing attributes at three different
distances. One aim of this paper is to explore the potency of
face, body and clothing for human recognition using fusion.
Another aim is to explore the suitability for each modality
at a distance: intuitively face is suited to near field
identification and body when the subject is further away.
The new database and the soft biometric features used are
clarified and the influence of distance on soft biometric
traits is investigated. Results show the individual
advantages and disadvantages of face, body and clothing
traits and demonstrate the superiority of fusion method in
human recognition compared with single-modality.

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Published date: 2018
Venue - Dates: IEEE International Conference on Identity, Security and Behavior Analysis 2018, 2018-01-11 - 2018-01-12

Identifiers

Local EPrints ID: 417057
URI: https://eprints.soton.ac.uk/id/eprint/417057
PURE UUID: f649c449-5a85-4dd8-b3ca-9bd9eebc78f5
ORCID for Mark Nixon: ORCID iD orcid.org/0000-0002-9174-5934

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Date deposited: 18 Jan 2018 17:30
Last modified: 18 Apr 2018 16:32

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Contributors

Author: Bingchen Guo
Author: Mark Nixon ORCID iD
Author: John Carter

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