Paper
8 October 2007 Holistic video detection
Shaogang Gong
Author Affiliations +
Proceedings Volume 6741, Optics and Photonics for Counterterrorism and Crime Fighting III; 674103 (2007) https://doi.org/10.1117/12.768931
Event: Optics/Photonics in Security and Defence, 2007, Florence, Italy
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.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Shaogang Gong "Holistic video detection", Proc. SPIE 6741, Optics and Photonics for Counterterrorism and Crime Fighting III, 674103 (8 October 2007); https://doi.org/10.1117/12.768931
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KEYWORDS
Cameras

3D modeling

Video

Imaging systems

Motion models

Video surveillance

Computing systems

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