Face recognition system makes matches from multiple stills

It could also reconstruct faces in 3D, according to a research team at the Queensland University of Technology (QUT).

Lead investigator Professor Fookes of QUT said there were a number of challenges to working in an unconstrained environment, where people were not necessarily aware their image was being captured.

‘The idea is to identify people who are walking around naturally in a public space, for example, at major sporting events, concerts, in airports, train stations and so on,’ he said. ‘So we are often working with images that may have low lighting or shadows, where the face may not be clearly visible all of the time and where the resolution may be very small.’

Development of such a surveillance system would be of benefit to law enforcement agencies, which were often hampered in their investigations by poor quality vision and images.

The focus of the research project is to develop mathematical algorithms that make it possible to take features from video and convert that into a model capable of recognising and matching facial features.