CrowdAR: A Live Video Annotation Tool for Rapid Mapping. (2016)

• Record Type: Journal Article
• Authors: Salisbury, Elliot; Stein, Sebastian; Ramchurn, Sarvapali
• Is Part Of: Procedia engineering. Volume 159(2016)
• Page Start: 89
• Page End: 93
• Publication Date: 2016
• Subjects: real-time -- crowdsourcing -- search and rescue -- UAV; Engineering -- Congresses; Engineering -- Periodicals; Engineering; Conference proceedings; Periodicals; 620.005
• DOI: 10.1016/j.proeng.2016.08.069
• Languages: English
• ISSNs: 1877-7058

Abstract

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.