New facial ID research will transform effectiveness of CCTV

Face recognition experts are carrying out research to improve the effectiveness of suspect identification on CCTV footage by adding lip movement and speech pattern recognition to existing face recognition.

Mar 19, 2009
By Paul Jacques
Graeme Biggar

Face recognition experts are carrying out research to improve the effectiveness of suspect identification on CCTV footage by adding lip movement and speech pattern recognition to existing face recognition.
The combination of lip reading and speech recognition capabilities will offer police new ways of quickly and accurately securing valuable evidence about a suspect’s identity from CCTV.
The project is being carried out jointly by face recognition experts OmniPerception and international defence and security company BAE Systems.
This research will also look at new advanced face-finding and tracking technology for use with CCTV footage, together with improved automatic detection and understanding of behaviour and events for multi-camera systems.
The £1.5 million project is being funded by BAE Systems through its Investment in Innovation programme, set up in 2008 to encourage and support innovative small and medium-sized enterprises (SMEs) in the development and delivery of new technology to improve security in the UK and worldwide.
The face recognition and behavioural biometric work with OmniPerception is one of the programme’s first projects.
This work builds on OmniPerception’s existing operations to develop and deliver cutting-edge technology for the security market.

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