New study finds that CCTV or video surveillance recognition is improved when using interactive images over static
A new study by psychologists at Nottingham Trent University (NTU), University of Birmingham, University of Greenwich and University of New South Wales has found that the use of interactive rotating images could help to reduce errors in facial recognition scenarios such as border control, police investigations and passport processing and CCTV or video surveillance recognition and investigations.
Checking photo ID is necessary for verifying identity, enabling people to cross borders, buy age-restricted goods, and access services. In a similar way, CCTV identification relies on matching footage to mugshots of suspects. However, the human user error rate when matching faces is surprisingly high, even among experienced practitioners, with incorrect decisions potentially having serious consequences.
To improve accuracy, the researchers trialed a new viewing procedure that provides the operator with an interactive image that they can rotate to different orientations, giving them a 3D-type view of the face..
As part of the study, which has been published in the British Journal of Psychology, more than 650 people were separated into ‘typical’ and ‘superior’ face recognizers, based on their results from previous experiments.
In each trial, participants were asked to decide whether two photographs featured the same person. One of these images was a Facebook profile picture, and the other was either a static face or an interactive image.
The results show that the interactive procedure reliably improved face matching accuracy for both sets of participants. The procedure also improves accuracy when image quality is low, for example as it might be in CCTV footage: accuracy was higher using the interactive procedure, even when the Facebook profile image was pixelated.
Dr Harriet Smith, lead author and independent research fellow in Psychology at NTU’s School of Social Sciences, said: “When viewing an image of someone’s face who you don’t know, you have no knowledge of the person’s 3D facial structure, or how their face might appear from different viewpoints. This can lead to a higher rate of error when attempting to match faces.
“We already know that some people find it easier to recognize faces than others, but both groups showed an improvement when using the interactive software and being able to move a face from side to side. These findings suggest that providing visual information about how a face looks from different viewpoints reduces human error, which has implications for any context where photo ID is used for identity verification, such as passport processing, border control, surveillance, and CCTV.
“Super recognizers are people with exceptional face recognition ability. While this skill is rare, some police forces now deploy such people to identification roles to try and mitigate the risk of incorrect face matching decisions. Our results suggest that this risk can be minimized further by using the interactive procedure.”
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