ARC Future Fellowships - Grant ID: FT130101457

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/FT130101457

Funding Status
Closed

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Funded Activity Summary

Multiview Complete Space Learning for Sparse Camera Network Research. Data analytics in video surveillance and social computing is a problem because data are represented by multiple heterogeneous features. This project will develop a multiview complete space learning framework to exploit heterogeneous properties to represent images obtained from sparse camera networks. It will integrate multiple features to identify people and understand behaviour, to build a database of activities occurring in a wide area of surveillance. It will expand frontier technologies and safeguard Australia by providing warnings for hazardous (for example, overcrowding, trespassing), criminal, and terrorist situations. Results will be applicable internationally and enhance Australia’s role in machine learning and computer vision communities.

Funded Activity Details

Start Date: 01-01-2014

End Date: 31-12-2017

Funding Scheme: ARC Future Fellowships

Funding Amount: $916,144.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Pattern Recognition and Data Mining | Computer Vision | Artificial Intelligence and Image Processing

ANZSRC Socio-Economic Objective (SEO)

Intelligence | Electronic Information Storage and Retrieval Services |

Other Keywords

Artificial Intelligence and Image Processing | Computer Vision | Electronic Information Storage and Retrieval Services | Intelligence | Pattern Recognition and Data Mining

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