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CrowdAR: a live video annotation tool for rapid mapping

CrowdAR: a live video annotation tool for rapid mapping
CrowdAR: a live video annotation tool for rapid mapping
Digital Humanitarians are a powerful and effective resource to analyse the vast amounts of data that disasters generate. Aerial vehicles are increasingly being used for gathering high resolution imagery of affected areas, but require a lot of effort to effectively analyse, typically taking days to complete. We introduce CrowdAR, a real-time crowdsourcing platform that tags live footage from aerial vehicles flown during disasters. CrowdAR enables the analysis of footage within minutes, can rapidly plot snippets of the video onto a map, and can reduce the cognitive load of pilots by augmenting their live video feed with crowd annotations.
real-time, crowdsourcing, search and rescue, UAV
Salisbury, Elliot
3573f86f-8305-4850-b911-41fdf896e946
Stein, Sebastian
fb227373-7242-4982-b84b-90bc79617a50
Ramchurn, Gopal
1d62ae2a-a498-444e-912d-a6082d3aaea3
Salisbury, Elliot
3573f86f-8305-4850-b911-41fdf896e946
Stein, Sebastian
fb227373-7242-4982-b84b-90bc79617a50
Ramchurn, Gopal
1d62ae2a-a498-444e-912d-a6082d3aaea3

Salisbury, Elliot, Stein, Sebastian and Ramchurn, Gopal (2016) CrowdAR: a live video annotation tool for rapid mapping. Humanitarian Technology: Science, Systems and Global Impact 2016, United States. 07 - 09 Jun 2016. 5 pp .

Record type: Conference or Workshop Item (Paper)

Abstract

Digital Humanitarians are a powerful and effective resource to analyse the vast amounts of data that disasters generate. Aerial vehicles are increasingly being used for gathering high resolution imagery of affected areas, but require a lot of effort to effectively analyse, typically taking days to complete. We introduce CrowdAR, a real-time crowdsourcing platform that tags live footage from aerial vehicles flown during disasters. CrowdAR enables the analysis of footage within minutes, can rapidly plot snippets of the video onto a map, and can reduce the cognitive load of pilots by augmenting their live video feed with crowd annotations.

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More information

Accepted/In Press date: 1 March 2016
e-pub ahead of print date: 8 June 2016
Venue - Dates: Humanitarian Technology: Science, Systems and Global Impact 2016, United States, 2016-06-07 - 2016-06-09
Keywords: real-time, crowdsourcing, search and rescue, UAV
Organisations: Agents, Interactions & Complexity

Identifiers

Local EPrints ID: 399365
URI: http://eprints.soton.ac.uk/id/eprint/399365
PURE UUID: 7fb67770-a207-4d97-b435-47805aad56b9
ORCID for Gopal Ramchurn: ORCID iD orcid.org/0000-0001-9686-4302

Catalogue record

Date deposited: 24 Aug 2016 14:56
Last modified: 17 Dec 2019 01:46

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