M. Marsden

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1C. Pickford
1O. Martinez-Maza
1J. Demeulemeester
1F. Boufassa
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This paper presents a new approach to crowd behaviour anomaly detection that uses a set of efficiently computed, easily interpretable, scene-level holistic features. This low-dimensional descriptor combines two features from the literature: crowd collectiveness [1] and crowd conflict [2], with two newly developed crowd features: mean motion speed and a new(More)
The United Kingdom National Health Service treats both elective and emergency patients and seeks to provide high quality care, free at the point of delivery. Equal numbers of emergency and elective general surgical procedures are performed, yet surgical training prioritisation and organisation of NHS institutions is predicated upon elective care. The(More)
  • D. Sargeant, S. Deverasetty, Y. Luo, A. Villahoz-Baleta, S. Zobrist, V. Rathnayake +494 others
  • 2012
Background: Many HIV databases and applications focus on a limited domain of HIV knowledge. Since even a ''simple'' organism like HIV represents a very complex system with many interacting elements, the fractured structure of existing databases and applications likely limits our ability to investigate and understand HIV. To facilitate research, therefore,(More)
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