Website
http://dataportal.arc.gov.au/NCGP/API/grants/LP100200430
Funding Status
Closed
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Funded Activity Summary
Design of adaptive learning visual sensor networks for crowd modelling in high-density and occluded scenarios. Partnering University of Melbourne researchers, with video surveillance experts SenSen, engineering consultants ARUP and the Melbourne Cricket Club, the project addresses research enabling a system-integrating, existing surveillance, infrastructure to model crowd behaviour and exit strategies, providing real-time analysis, prediction and response capabilities for venue managers and emergency services. This new capability enhances utilisation of security resources to prevent injury and fatalities in evacuation scenarios, applicable to existing venues and influencing the development of new facilities around the country. The project delivers researcher training, global clientele for local technology and a platform for local industry growth.Funded Activity Details
Start Date: 04-2011
End Date: 12-2014
Funding Scheme: Linkage Projects
Funding Amount: $255,000.00
Funder: Australian Research Council
Research Topics
ANZSRC Field of Research (FoR)
Pattern Recognition and Data Mining | Computer Vision | Knowledge Representation and Machine Learning | Image Processing | Artificial Intelligence and Image Processing
ANZSRC Socio-Economic Objective (SEO)
Information Processing Services (incl. Data Entry and Capture) | Application Tools and System Utilities | Information and Communication Services not elsewhere classified | Expanding Knowledge in Technology |
