Towards automated eyewitness descriptions: describing the face, body and clothing for recognition
Towards automated eyewitness descriptions: describing the face, body and clothing for recognition
A fusion approach to person recognition is presented here outlining the automated recognition of targets from human descriptions of face, body and clothing. Three novel results are highlighted. First, the present work stresses the value of comparative descriptions (he is taller than…) over categorical descriptions (he is tall). Second, it stresses the primacy of the face over body and clothing cues for recognition. Third, the present work unequivocally demonstrates the benefit gained through the combination of cues: recognition from face, body and clothing taken together far outstrips recognition from any of the cues in isolation. Moreover, recognition from body and clothing taken together nearly equals the recognition possible from the face alone. These results are discussed with reference to the intelligent fusion of information within police investigations. However, they also signal a potential new era in which automated descriptions could be provided without the need for human witnesses at all.
524-538
Nixon, Mark
2b5b9804-5a81-462a-82e6-92ee5fa74e12
Guo, Bingchen
6e425926-551d-40c2-9c12-e2509d76baa2
Stevenage, Sarah
493f8c57-9af9-4783-b189-e06b8e958460
Jaha, Emad
3e8d58cd-4526-42a2-aeca-416feaa8dbfe
Almudhahka, Nawaf
929b4dbb-016d-44bb-9755-b9e0adb6ded0
Martinho-Corbishley, Daniel
6dd73e5c-9a7e-41bd-b896-fb1ea9852abb
2017
Nixon, Mark
2b5b9804-5a81-462a-82e6-92ee5fa74e12
Guo, Bingchen
6e425926-551d-40c2-9c12-e2509d76baa2
Stevenage, Sarah
493f8c57-9af9-4783-b189-e06b8e958460
Jaha, Emad
3e8d58cd-4526-42a2-aeca-416feaa8dbfe
Almudhahka, Nawaf
929b4dbb-016d-44bb-9755-b9e0adb6ded0
Martinho-Corbishley, Daniel
6dd73e5c-9a7e-41bd-b896-fb1ea9852abb
Nixon, Mark, Guo, Bingchen, Stevenage, Sarah, Jaha, Emad, Almudhahka, Nawaf and Martinho-Corbishley, Daniel
(2017)
Towards automated eyewitness descriptions: describing the face, body and clothing for recognition.
Visual Cognition, 25 (4-6), .
(doi:10.1080/13506285.2016.1266426).
Abstract
A fusion approach to person recognition is presented here outlining the automated recognition of targets from human descriptions of face, body and clothing. Three novel results are highlighted. First, the present work stresses the value of comparative descriptions (he is taller than…) over categorical descriptions (he is tall). Second, it stresses the primacy of the face over body and clothing cues for recognition. Third, the present work unequivocally demonstrates the benefit gained through the combination of cues: recognition from face, body and clothing taken together far outstrips recognition from any of the cues in isolation. Moreover, recognition from body and clothing taken together nearly equals the recognition possible from the face alone. These results are discussed with reference to the intelligent fusion of information within police investigations. However, they also signal a potential new era in which automated descriptions could be provided without the need for human witnesses at all.
Text
Towards Automated Eyewitness Statements accepted version.pdf
- Accepted Manuscript
More information
Accepted/In Press date: 19 November 2016
e-pub ahead of print date: 8 March 2017
Published date: 2017
Organisations:
Vision, Learning and Control
Identifiers
Local EPrints ID: 403165
URI: http://eprints.soton.ac.uk/id/eprint/403165
ISSN: 1350-6285
PURE UUID: a590c934-b061-40dc-811d-4bc03aa1be1b
Catalogue record
Date deposited: 22 Nov 2016 15:49
Last modified: 16 Mar 2024 02:46
Export record
Altmetrics
Contributors
Author:
Bingchen Guo
Author:
Emad Jaha
Author:
Nawaf Almudhahka
Author:
Daniel Martinho-Corbishley
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics
