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Grant Award View - GA64823-V1
Unlocking Mass Mobile Video Analytics with Advanced Neural Memory...
GA ID:
GA64823-V1
Agency:
Australian Research Council
Approval Date:
4-Dec-2019
Variation Publish Date:
19-May-2020
Variation Date:
3-Jun-2020
Category:
Science, Technology, Engineering and Mathematics (STEM) Research
Grant Term:
3-Jun-2020 to 2-Jun-2023
Value (AUD):
$440,000.00
(GST inclusive where applicable)
Varies:
GA64823
- Unlocking Mass Mobile Video Analytics with Advanced Neural Memory Networks
One-off/Ad hoc:
No
Aggregate Grant Award:
No
PBS Program Name:
ARC 19/20 Discovery
Grant Program:
Discovery Projects
Grant Activity:
Unlocking Mass Mobile Video Analytics with Advanced Neural Memory Networks
Purpose:
This project will develop neural memory architectures and dense spatial-temporal bundle adjustment to predict movement, behaviour, and perform multi-sensor fusion across large asynchronous video feeds. This capability will allow us to better interrogate and analyse mass video information recorded from the vast number of smartphones, action cameras, and surveillance cameras which exist at public events of interest. Outcomes include the ability to ingest multiple video feeds into a dense and dynamic 3D reconstruction for knowledge representation and discovery, and analysis of events and behaviour through new spatio-temporal analytic approaches. This will offer significant benefits for video forensic analysis, policing, and emergency response.
GO ID:
GO Title:
Discovery Projects for funding commencing in 2020
Internal Reference ID:
DP20 Round 1
Selection Process:
Targeted or Restricted Competitive
Confidentiality - Contract:
No
Confidentiality - Outputs:
No
Grant Recipient Details
Recipient Name:
Queensland University of Technology
Recipient ABN:
83 791 724 622
Grant Recipient Location
Suburb:
BRISBANE CITY
Town/City:
BRISBANE CITY
Postcode:
4000
State/Territory:
QLD
Country:
AUSTRALIA
Grant Delivery Location
State/Territory:
QLD
Postcode:
4000
Country:
AUSTRALIA