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Proceedings Paper

Recognition of complex human behaviours using 3D imaging for intelligent surveillance applications
Author(s): Bo Yao; Jason J. Lepley; Robert Peall; Michael Butler; Hani Hagras
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Paper Abstract

We introduce a system that exploits 3-D imaging technology as an enabler for the robust recognition of the human form. We combine this with pose and feature recognition capabilities from which we can recognise high-level human behaviours. We propose a hierarchical methodology for the recognition of complex human behaviours, based on the identification of a set of atomic behaviours, individual and sequential poses (e.g. standing, sitting, walking, drinking and eating) that provides a framework from which we adopt time-based machine learning techniques to recognise complex behaviour patterns.

Paper Details

Date Published: 25 October 2016
PDF: 5 pages
Proc. SPIE 9992, Emerging Imaging and Sensing Technologies, 99920H (25 October 2016); doi: 10.1117/12.2241088
Show Author Affiliations
Bo Yao, Univ. of Essex (United Kingdom)
Jason J. Lepley, Leonardo-Finmeccanica (United Kingdom)
Robert Peall, Leonardo-Finmeccanica (United Kingdom)
Michael Butler, Leonardo-Finmeccanica (United Kingdom)
Hani Hagras, Univ. of Essex (United Kingdom)

Published in SPIE Proceedings Vol. 9992:
Emerging Imaging and Sensing Technologies
Keith L. Lewis; Richard C. Hollins, Editor(s)

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