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Proceedings Paper

Holistic video detection
Author(s): Shaogang Gong
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Paper Abstract

There are large amount of CCTV cameras collecting colossal amounts of video data about people and their behaviour. However, this overwhelming amount of data also causes overflow of information if their content is not analysed in a wider context to provide selective focus and automated alert triggering. To date, truly semantics based video analytic systems do not exist. There is an urgent need for the development of automated systems to monitor holistically the behaviours of people, vehicles and the whereabout of objects of interest in public space. In this work, we highlight the challenges and recent progress towards building computer vision systems for holistic video detection in a distributed network of multiple cameras based on object localisation, categorisation and tagging from different views in highly cluttered scenes.

Paper Details

Date Published: 8 October 2007
PDF: 8 pages
Proc. SPIE 6741, Optics and Photonics for Counterterrorism and Crime Fighting III, 674103 (8 October 2007); doi: 10.1117/12.768931
Show Author Affiliations
Shaogang Gong, Queen Mary Univ. of London (United Kingdom)

Published in SPIE Proceedings Vol. 6741:
Optics and Photonics for Counterterrorism and Crime Fighting III
Colin Lewis, Editor(s)

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