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Faceless Recognition Vs Facial Recognition

Faceless recognition is a way of identifying people based on clothing and general appearance. It is able to track a person of interest in situations when biometric facial recognition fails, the face is covered or the person is viewed from the back. It works by taking a picture of a person of interest and can then identify the person in another place, from a different angle.

For example, faceless recognition would have been useful during the man hunt following the 2016 Berlin terrorist attack. As in all video surveillance images the attacker was caught from the back or his face was partially covered by clothes. Throughout his trip from Berlin to Milan the attacker kept the same clothes on, so faceless recognition would have been appropriate.

Will faceless recognition replace facial recognition?

The technology is not yet advanced enough as faceless recognition has a number of limits. Including, the problem that faceless recognition raises considerably more false alarms than facial recognition. Also, it is unable to always identify when a person changes their clothes. Therefore, the method is suitable for same-day tracking, but not for tracking a person over long periods of time.

However, faceless recognition can work together with facial recognition. As it is able to help track someone within a wide network of video cameras.

Is faceless recognition set to become a standard feature of CCTV?

As faceless recognition is actively researched it is likely that in the future it will become part of all CCTV cameras. Alternatively, faceless recognition could be overstepped by gait recognition, which can recognise a person independently of clothes.

If you need more information on the types of CCTV available, why not download our free buyers guide? Alternatively give us a call on 0845 402 3045 and we’ll be happy to help.

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