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Category: Projects

This a list of projects undertaken by members of the ACVT.

Lifelong Computer Vision Systems (FL130100102)

Prof. Ian Reid of the ACVT has been awarded an ARC Laureate Fellowship valued at $3,179,946. The aim of the project is to develop robust computer vision systems that can operate over a wide area and over long periods. This is a major challenge because the geometry and appearance of an environment can change over […]

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Accessing Australia’s Photographic History (LP130101064)

ACVT has been awarded a 2 year ARC Linkage Grant valued at $150,000. The partner organisation is the South Australian Maritime Museum. The CIs on the project are Prof. Anton van den Hengel, Dr Anthony Dick and Prof. Ian Reid. Australian museums have vast collections of photographs documenting our national history. This project proposes an […]

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Semantic change detection through large-scale learning (LP130100156)

ACVT has been awarded a 3 year ARC Linkage Project valued at $377,000. The industry partner is BAE Systems. The CIs on the project are Prof. Anton van den Hengel, Dr Chunhua Shen, Dr Anders Eriksson and Dr Qinfeng Shi. Identifying whether there has been a significant change in a scene from a set of […]

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Visual tracking with environmental constraints (LP130100154)

ACVT has been awarded a 3 year ARC Linkage Project valued at $345,000. The industry partner is Champion Data, a Melbourne based sports statistics company. The CIs on the project are Dr Anthony Dick and Prof. Ian Reid. Tracking people in video is a key problem in computer vision, with widespread application in areas such […]

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Improved image analysis: maximised statistical use of geometry/shape constraints (DP130102524)

Prof. David Suter and Dr Tat-Jun Chin have been awarded a 3 year ARC Discovery Grant valued at $330,000. This project will improve image analysis to apply such applications as 3D street-scape reconstruction, synthetic inserts into video for special effects, autonomous navigation, and scene understanding. It will do so by maximally exploiting the geometry of […]

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Distributed Large-scale Optimization Methods in Computer Vision (DE130101775)

Dr Anders Eriksson of the ACVT has been awarded a 3 year ARC DECRA Fellowship valued at $375,000. Computer vision concerns itself with understanding the real world through the analysis of images. With the number of images and video available over the internet reaching several billions, and growing, this has begun to revolutionize the field. […]

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Recognising and reconstructing objects in real time from a moving camera (DP130104413)

ACVT has been awarded a 3 year ARC Discovery Grant valued at $358,000. The CIs on the grant are Prof. Ian Reid and Dr Anthony Dick. The aim of this project is to visually understand an environment as seen from a moving camera in real time. This entails the recovery of 3D shape and the […]

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ACVT working with the Motor Accident Commission to improve Cycling Safety

ACVT is working with the South Australian Motor Accident Commission (MAC) with the aim of improving the safety of cyclists. A project commencing shortly will focus on developing software to enable the MAC to analyse imagery to evaluate the visibility of cyclists under a range of conditions. A key goal for the project is to […]

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Computational infrastructure for machine learning in computer vision (LE130100156)

ACVT has been awarded an ARC LIEF Grant valued at $210,000. The funding will facilitate the acquisition of equipment and infrastructure to support the ACVTs work in Machine Learning. The CIs on the project are Prof. Anton van den Hengel, Prof. Ian Reid, Prof. David Suter, Dr Anthony Dick and Dr Chunhua Shen. Machine learning […]

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ACVT research being applied to solve "Big Data" problems

The ACVT has been awarded two contracts to work with the Defence Systems Innovation Centre (DSIC) in the area of Big Data. Big Data Intelligence Platform: Defence and Intelligence agencies are faced with an ever-increasing amount of incoming data. The ability to extract actionable intelligence from this data, whilst using limited manpower, will require new […]

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