Natural user interface and machine perception of gestures

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• Andrew Blake, Microsoft Research Cambridge
• Thursday 24 November 2011, 16:00-17:00
• MR9, CMS.

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CCA Industrial Seminar

The problem of programming a computer to recognise the motion of the human body has been studied over two decades or so. In common with other problems in machine perception, variability (across the class of human bodies and their possible movements) is best addressed by computing with probabilities. A number of approaches to building suitable probabilistic models has been considered, for example Monte Carlo Inference and hierarchically structured models. Most recently the problem has been solved at commercial scale in Microsoft’s “Kinect” system, using an active stereo camera which has entered the Guinness book of records as the fastest-selling piece of electronic hardware ever made. The approach to perception adopted in Kinect, which is perhaps a little surprising, will be described in the lecture.

Speaker: Andrew Blake

Bio: http://research.microsoft.com/~ablake

This talk is part of the Cambridge Centre for Analysis talks series.

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