Guiding visual surveillance by tracking human attention
Date
2009
Authors
Benfold, B.
Reid, I.
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Conference paper
Citation
Proceedings of the British Machine Vision Conference, 7-10 September 2009 / A. Cavallaro, S. Prince and D. Alexander (eds.): pp.14.1-14.11
Statement of Responsibility
Ben Benfold, Ian Reid
Conference Name
British Machine Vision Conference (20th : 2009 : London, United Kingdom)
DOI
Abstract
We describe a novel method for directing the attention of an automated surveillance system. Our starting premise is that the attention of people in a scene can be used as an indicator of interesting areas and events. To determine people’s attention from passive visual observations we develop a system for automatic tracking and detection of individual heads to infer their gaze direction. The former is achieved by combining a histogram of oriented gradient (HOG) based head detector with frame-to-frame tracking using multiple point features to provide stable head images. The latter is achieved using a head pose classification method which uses randomised ferns with decision branches based on both HOG and colour based features to determine a coarse gaze direction for each person in the scene. By building both static and temporally varying maps of areas where people look we are able to identify interesting regions.
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© 2009 The Authors