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TooManyEyes: Super-recogniser directed identification of target individuals on CCTV

TooManyEyes: Super-recogniser directed identification of target individuals on CCTV

Durova, M. l., Dimou, A., Litos, G., Daras, P. and Davis, J. P. ORCID: 0000-0003-0017-7159 (2017) TooManyEyes: Super-recogniser directed identification of target individuals on CCTV. In: 8th IET International Conference on Imaging for Crime Detection and Prevention (ICDP-17). IET Digital Library. (In Press) (doi:10.5281/zenodo.1071985)

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Abstract

For the current research, a ‘Spot the Face in a Crowd Test’ (SFCT) comprising six video clips depicting target-actors and multiple bystanders was loaded on TooManyEyes, a bespoke multi-media platform adapted here for the human-directed identification of individuals in CCTV footage. To test the utility of TooManyEyes, police ‘super-recognisers’ (SRs) who may possess exceptional face recognition ability, and police controls attempted to identify the target-actors from the SFCT. As expected, SRs correctly identified more target-actors; with higher confidence than controls. As such, the TooManyEyes system provides a useful platform for uploading tests for selecting police or security staff for CCTV review deployment

Item Type: Conference Proceedings
Title of Proceedings: 8th IET International Conference on Imaging for Crime Detection and Prevention (ICDP-17)
Additional Information: The 8th IET International Conference of Imaging for Crime Detection and Prevention (ICDP) was held in Madrid, Spain, 13-15 December 2017.
Uncontrolled Keywords: super-recognisers; face recognition; CCTV; face matching
Subjects: B Philosophy. Psychology. Religion > BF Psychology
Faculty / Department / Research Group: Faculty of Education & Health
Faculty of Education & Health > Applied Psychology Research Group
Faculty of Education & Health > Department of Psychology, Social Work & Counselling
Last Modified: 17 Apr 2018 19:13
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: GREAT c
URI: http://gala.gre.ac.uk/id/eprint/19272

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