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

Bo Yao; Jason J. Lepley; Robert Peall; Michael Butler; Hani Hagras

doi:10.1117/12.2241088

25 October 2016 Recognition of complex human behaviours using 3D imaging for intelligent surveillance applications

Bo Yao, Jason J. Lepley, Robert Peall, Michael Butler, Hani Hagras

Proceedings Volume 9992, Emerging Imaging and Sensing Technologies; 99920H (2016) https://doi.org/10.1117/12.2241088
Event: SPIE Security + Defence, 2016, Edinburgh, United Kingdom

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.

Conference Presentation

Citation Download Citation

Bo Yao, Jason J. Lepley, Robert Peall, Michael Butler, and Hani Hagras "Recognition of complex human behaviours using 3D imaging for intelligent surveillance applications", Proc. SPIE 9992, Emerging Imaging and Sensing Technologies, 99920H (25 October 2016); https://doi.org/10.1117/12.2241088

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