TooManyEyes: super-recogniser directed identification of target individuals on CCTV
TooManyEyes: super-recogniser directed identification of target individuals on CCTV
- Author(s): M.L. Durova ; A. Dimou ; G. Litos ; P. Daras ; J.P. Davis
- DOI: 10.1049/ic.2017.0047
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- Author(s): M.L. Durova ; A. Dimou ; G. Litos ; P. Daras ; J.P. Davis Source: 8th International Conference on Imaging for Crime Detection and Prevention (ICDP 2017), 2017 p. 43 – 48
- Conference: 8th International Conference on Imaging for Crime Detection and Prevention (ICDP 2017)
- DOI: 10.1049/ic.2017.0047
- ISBN: 978-1-78561-687-7
- Location: Madrid, Spain
- Conference date: 13-15 Dec. 2017
- Format: PDF
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.
Inspec keywords: closed circuit television; police; program testing; human-robot interaction; face recognition
Subjects: Image recognition; Public administration; Closed circuit television; Computer vision and image processing techniques
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