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Type: Conference paper
Title: Unsupervised learning of a scene-specific coarse gaze estimator
Author: Benfold, B.
Reid, I.
Citation: Proceedings / IEEE International Conference on Computer Vision. IEEE International Conference on Computer Vision, 2011, pp.2344-2351
Publisher: IEEE
Publisher Place: USA
Issue Date: 2011
Series/Report no.: IEEE International Conference on Computer Vision
ISBN: 9781457711015
ISSN: 1550-5499
Conference Name: IEEE International Conference on Computer Vision (ICCV) (6 Nov 2011 - 13 Nov 2011 : Barcelona, Spain)
Statement of
Ben Benfold and Ian Reid
Abstract: We present a method to estimate the coarse gaze directions of people from surveillance data. Unlike previous work we aim to do this without recourse to a large hand-labelled corpus of training data. In contrast we propose a method for learning a classifier without any hand labelled data using only the output from an automatic tracking system. A Conditional Random Field is used to model the interactions between the head motion, walking direction, and appearance to recover the gaze directions and simultaneously train randomised decision tree classifiers. Experiments demonstrate performance exceeding that of conventionally trained classifiers on two large surveillance datasets.
Rights: ©2011 IEEE
DOI: 10.1109/ICCV.2011.6126516
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Computer Science publications

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