http://hdl.handle.net/1983/1725 Sun, 16 Jun 2013 11:19:00 GMT 2013-06-16T11:19:00Z http://hdl.handle.net/1983/1727 Egocentric visual event classification with location-based priors Sundaram, S; Mayol-Cuevas, WW We present a method for visual classification of actions and events captured from an egocentric point of view. The method tackles the challenge of a moving camera by creating deformable graph models for classification of actions. Action models are learned from low resolution, roughly stabilized difference images acquired using a single monocular camera. In parallel, raw images from the camera are used to estimate the user’s location using a visual Simultaneous Localization and Mapping (SLAM) system. Action-location priors, learned using a labelled set of locations, further aid action classification and bring events into context. We present results on a dataset collected within a cluttered environment, consisting of routine manipulations performed on objects without tags. Author's own post-print version of a paper published by Springer in volume 6454 of the Lecture Notes in Computer Science series. The original publication is available at www.springerlink.com Wed, 10 Nov 2010 00:00:00 GMT http://hdl.handle.net/1983/1727 2010-11-10T00:00:00Z http://hdl.handle.net/1983/1717 Application of multiple-wireless to a visual localisation system for emergency services Efthymiou, Costas; Gormus, S; Fan, Zhong; Calway, AD; Mayol-Cuevas, WW; Doufexi, A In this paper we discuss the application of multiple-wireless technology to a practical context-enhanced service system called ViewNet. ViewNet develops technologies to support enhanced coordination and cooperation between operation teams in the emergency services and the police. Distributed localisation of users and mapping of environments implemented over a secure wireless network enables teams of operatives to search and map an incident area rapidly and in full coordination with each other and with a control centre. Sensing is based on fusing absolute positioning systems (UWB and GPS) with relative localisation and mapping from on-body or hand-held vision and inertial sensors. This paper focuses on the case for multiple-wireless capabilities in such a system and the benefits it can provide. We describe our work of developing a software API to support both WLAN and TETRA in ViewNet. It also provides a basis for incorporating future wireless technologies into ViewNet. Wed, 01 Sep 2010 00:00:00 GMT http://hdl.handle.net/1983/1717 2010-09-01T00:00:00Z