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Category: Research
This has been replaced by the 6 Research Theme Categories.
Large-Scale Intelligent Video Surveillance
A key step towards automating the monitoring of video from many cameras is to generate an understanding of the paths which targets may take between their fields of view. This activity topology information is the foundation for many fundamental tasks in networked surveillance, such as tracking an object across the network. Although it could be […]
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MSR 3D User-Created Content Seminar
Prof van den Hengel will give a seminar at Microsoft Research in Beijing in July titled “3D User-Created Content”. The talk describes much of the recent ACVT work in trying to make the generation of 3D content more accessible. The abstract is The technology to capture and visualise 3D content was invented before the aeroplane, […]
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Imaging cereals for increased crop yields
A news release about our recent ARC Linkage grant award: University of Adelaide computer scientists are developing image-based technology which promises a major boost to the breeding of improved cereal varieties for the harsher environmental conditions expected under climate change. Led by Professor Anton van den Hengel, Director of the Australian Centre for Visual Technologies […]
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NLPR visit
Prof van den Hengel will visit China’s National Laboratory for Pattern Recognition in early June to give a seminar and identify opportunities for collaboration. According to their web site The National Laboratory of Pattern Recognition (NLPR) at the Institute of Automation of the Chinese Academy of Sciences （CAS）, was established in 1987 to become one of the […]
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TUV Augmented Reality Seminar
Prof van den Hengel will give a seminar in the Qualcomm Augmented Reality Lecture Series at Technische Universität Vienna in July. The title of the talk is Reconstruction and recognition for realistic augmented reality and the abstract: Augmented reality involves the rendering of synthetic content into live video. The believable augmentation of reality requires that synthetic content […]
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Multi-model predictions of ecosystem flux under climate change based on novel genetic and image analysis methods (FS110200051)
ACVT is collaborating with University of Adelaide scientists to develop image analysis methods that can be applied to model biodiversity. Prof. Anton van den Hengel is a CI on the project being led by Prof. Andy Lowe. The ARC has awarded the University of Adelaide a Super-Science Fellowship valued at $556,800 to do this work. The […]
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2 Year Postdoctoral Position available from mid 2011
2-YEAR POSTDOCTORAL POSITION Australian Centre for Visual Technologies University of Adelaide South Australia Added Depth: Automated high level image interpretation Research areas: Computer Vision, Machine Learning The successful applicant will join an established and successful team, lead by Prof Anton van den Hengel, Dr Anthony Dick, Prof Philip Torr and Prof Simon Lucey, working on […]
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ERA results confirm ACVT a world leader
The Excellence in Research for Australia (ERA) results have been released, and show the ACVT in a very good light. The ERA initiative assesses research quality within Australia’s higher education institutions using a combination of indicators and expert review by committees comprising experienced, internationally-recognised experts. Each area is represented by a code number, and the research within […]
New academic appointed-Dr Chunhua Shen
Dr Chunhua Shen, previously of the NICTA Bionic Vision Project, has accepted a position in the School of Computer Science and the ACVT. Dr Shen is a leading Computer Vision expert and particularly strengthens ACVT expertise in Machine Learning.
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ACVT ARC Discovery Projects success
Profs David Suter and Anton van den Hengel were both awarded ARC Discovery Grants to begin in 2011. They are: Computer vision from a multi structural analysis framework, Prof D. Suter. Computer vision has applications in a wide variety of areas: security (video surveillance), entertainment (special effects), health care (medical imaging), and economy (improved automation and […]
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