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Recognition of complex human behaviours using 3D imaging for intelligent surveillance applications

Yao, B and Lepley, JJ and Peall, R and Butler, M and Hagras, H (2016) Recognition of complex human behaviours using 3D imaging for intelligent surveillance applications. In: UNSPECIFIED, ? - ?.

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Abstract

© 2016 SPIE. 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.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Published proceedings: Proceedings of SPIE - The International Society for Optical Engineering
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Jim Jamieson
Date Deposited: 28 Feb 2017 10:26
Last Modified: 05 Feb 2019 17:15
URI: http://repository.essex.ac.uk/id/eprint/19025

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