Paper
28 May 2013 Crowded: a crowd-sourced perspective of events as they happen
Richard Brantingham, Aleem Hossain
Author Affiliations +
Abstract
‘Crowded’ is a web-based application developed by the Defence Science & Technology Laboratory (Dstl) that collates imagery of a particular location from a variety of media sources to provide an operator with real-time situational awareness. Emergency services and other relevant agencies have detected or become aware of an event - a riot or an explosion, for instance - and its location or text associated with it. The ubiquity of mobile devices allows people to collect and upload media of the incident to the Internet, in real time. Crowded manages the interactions with online sources of media: Flickr; Instagram; YouTube; Twitter; and Transport for London traffic cameras, to retrieve imagery that is being uploaded at that point in time. In doing so, it aims to provide human operators with near-instantaneous ‘eyes-on’ from a variety of different perspectives. The first instantiation of Crowded was implemented as a series of integrated web-services with the aim of rapidly understanding whether the approach was viable. In doing so, it demonstrated how non-traditional, open sources can be used to provide a richer current intelligence picture than can be obtained alone from classified sources. The development of Crowded also explored how open source technology and cloud-based services can be used in the modern intelligence and security environment to provide a multi-agency Common Operating Picture to help achieve a co-ordinated response. The lessons learned in building the prototype are currently being used to design and develop a second version, and identify options and priorities for future development.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Richard Brantingham and Aleem Hossain "Crowded: a crowd-sourced perspective of events as they happen", Proc. SPIE 8758, Next-Generation Analyst, 87580D (28 May 2013); https://doi.org/10.1117/12.2016596
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CITATIONS
Cited by 8 scholarly publications.
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KEYWORDS
Web 2.0 technologies

Algorithm development

Web services

Cameras

Defense and security

Detection and tracking algorithms

Situational awareness sensors

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