Scalable Robust Video Surveillance over Constrained Networks. Real-time monitoring of large numbers of people is becoming increasingly important for applications such as efficient service delivery and security against both common crime and terrorism. The use of human operators for such tasks is infeasible due to the large amount of data collected. Existing autonomous video surveillance systems are prone to high numbers of false alarms and often require expensive hardware. This proposal seeks ....Scalable Robust Video Surveillance over Constrained Networks. Real-time monitoring of large numbers of people is becoming increasingly important for applications such as efficient service delivery and security against both common crime and terrorism. The use of human operators for such tasks is infeasible due to the large amount of data collected. Existing autonomous video surveillance systems are prone to high numbers of false alarms and often require expensive hardware. This proposal seeks to address both difficulties by using rigorous statistical signal processing methods to optimally fuse information from a network of low-cost cameras.Read moreRead less
Advanced Processing for Through-the-Wall Radar Imaging. There is currently considerable interest around the world in imaging systems that can 'see' through-the-walls. This project is at the cutting edge of through-the-wall radar imaging research and technology. It will benefit both the defence and security industries, and position Australia among the leading countries in this technology, as only a handful of research teams around the world have the necessary background and expertise in this area ....Advanced Processing for Through-the-Wall Radar Imaging. There is currently considerable interest around the world in imaging systems that can 'see' through-the-walls. This project is at the cutting edge of through-the-wall radar imaging research and technology. It will benefit both the defence and security industries, and position Australia among the leading countries in this technology, as only a handful of research teams around the world have the necessary background and expertise in this area. The research outcomes will enhance the capability of the military, law enforcement, counter-terrorism, and search and rescue personnel. It will play a vital role in protecting and safeguarding Australia from terrorism and crime.Read moreRead less
Enhanced Through-Wall Imaging using Bayesian Compressive Sensing. The aim of this project is to develop radar imaging techniques which enable us to 'see' objects behind walls and opaque materials. The major intended breakthrough is the ability to image objects behind walls and inside buildings or enclosed structures without accessing the scene. Novel signal and image processing algorithms, based on Bayesian compressive sensing, will be developed to enhance image quality and resolution, improve s ....Enhanced Through-Wall Imaging using Bayesian Compressive Sensing. The aim of this project is to develop radar imaging techniques which enable us to 'see' objects behind walls and opaque materials. The major intended breakthrough is the ability to image objects behind walls and inside buildings or enclosed structures without accessing the scene. Novel signal and image processing algorithms, based on Bayesian compressive sensing, will be developed to enhance image quality and resolution, improve speed of operation, and reduce the cost and time of data acquisition and processing. Many applications are expected to benefit from this research including search and rescue, surveillance, security, and defence. The research outcomes are expected to enhance the capabilities of the Australian armed forces, counter-terrorism, police and law-enforcement agencies.Read moreRead less
Robust Beamforming for Radar Imaging. The impact of radar imaging technologies on security and search and rescue operations is indisputable. They play a vital role in safeguarding a country from terrorism and crime, protecting its borders, and predicting adverse weather patterns. Searching for survivors in disaster areas such as earthquakes and fires can greatly benefit from the proposed research. Law-enforcement officers can employ radar imaging technology to enable accurate determination of t ....Robust Beamforming for Radar Imaging. The impact of radar imaging technologies on security and search and rescue operations is indisputable. They play a vital role in safeguarding a country from terrorism and crime, protecting its borders, and predicting adverse weather patterns. Searching for survivors in disaster areas such as earthquakes and fires can greatly benefit from the proposed research. Law-enforcement officers can employ radar imaging technology to enable accurate determination of targets of interest, obstacles, weapons, victims, outlaws, and hostages inside enclosed structures or buildings. The proposed research and its findings will support the development of cutting edge radar imaging research and technology in Australia.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE210101297
Funder
Australian Research Council
Funding Amount
$429,000.00
Summary
A novel, dictionary-free, multi-contrast MRI method for microscopic imaging. This project aims to develop a novel quantitative imaging technique for comprehensive in vitro and in vivo tissue characterisation on the microscopic scale. The technology innovated in the project could revolutionise microscopic imaging techniques by breaking through the sub-millimetre image resolution bottleneck of current magnetic resonance imaging (MRI) methods. This project expects to generate new knowledge in the e ....A novel, dictionary-free, multi-contrast MRI method for microscopic imaging. This project aims to develop a novel quantitative imaging technique for comprehensive in vitro and in vivo tissue characterisation on the microscopic scale. The technology innovated in the project could revolutionise microscopic imaging techniques by breaking through the sub-millimetre image resolution bottleneck of current magnetic resonance imaging (MRI) methods. This project expects to generate new knowledge in the emerging field of biological imaging and to deliver an integrated imaging platform for mapping various tissue microscopic components at the cellular level. Successful outcomes have the potential for commercialisation and will accelerate a range of fundamental science and engineering studies requiring imaging techniques.Read moreRead less
Robust, valid and interpretable deep learning for quantitative imaging. One of the biggest challenges in employing artificial intelligence is the “black-box” nature of the models used. This project aims to improve the effectiveness and trustworthiness of deep learning within quantitative magnetic resonance imaging. Deep learning has great promise in speeding-up complex image processing tasks, but currently suffers from variable data inputs, predictions are not guaranteed to be plausible and it i ....Robust, valid and interpretable deep learning for quantitative imaging. One of the biggest challenges in employing artificial intelligence is the “black-box” nature of the models used. This project aims to improve the effectiveness and trustworthiness of deep learning within quantitative magnetic resonance imaging. Deep learning has great promise in speeding-up complex image processing tasks, but currently suffers from variable data inputs, predictions are not guaranteed to be plausible and it is not clear to the end user how reliable the results are. The outcomes intend to deliver advanced knowledge and capability in artificial intelligence and machine learning that Australia urgently needs to capitalise on bringing deep learning into practical applications delivering economic, commercial and social impact.Read moreRead less
Advanced techniques for imaging radar interferometry. The Earth's surface is changing all the time, both slowly and dramatically, due to activities such as groundwater extraction, underground mining and earthquakes. This project will develop advanced, cost-effective and accurate imaging radar techniques that can measure subtle surface changes frequently, in order to safeguard significant infrastructure.
New Signal Transforms for Multimedia Applications. This project targets at important yet challenging problems for reliable transmission and efficient processing of digital multimedia. The solutions to these problems will not only contribute to our fundamental understanding of digital visual information, but also lead to new commercial opportunities. Hence, the project is clearly within the ARC priority research area 3: Frontier Technologies Frontier Technologies for Building and Transforming Aus ....New Signal Transforms for Multimedia Applications. This project targets at important yet challenging problems for reliable transmission and efficient processing of digital multimedia. The solutions to these problems will not only contribute to our fundamental understanding of digital visual information, but also lead to new commercial opportunities. Hence, the project is clearly within the ARC priority research area 3: Frontier Technologies Frontier Technologies for Building and Transforming Australian Industries. Also, as multimedia market is one of the highest growth segments within the information technology industry, the project is directly in the information and communication technologies (ICT), whose national importance was recognized by the Federal Government. Read moreRead less
Efficient learning from multiple brain imaging data sets. Brain imaging data analysis methods have proven to be very effective in the study of brain functions and the identification of brain disorders because they minimise the modelling assumptions on the underlying structure of the problem. Analysis of multiple brain imaging data sets, either of the same modality as in multitask or multisubject data sets or from different modalities as in the case of data fusion, is a challenging problem in bi ....Efficient learning from multiple brain imaging data sets. Brain imaging data analysis methods have proven to be very effective in the study of brain functions and the identification of brain disorders because they minimise the modelling assumptions on the underlying structure of the problem. Analysis of multiple brain imaging data sets, either of the same modality as in multitask or multisubject data sets or from different modalities as in the case of data fusion, is a challenging problem in biomedical image analysis. This project will lead to fundamental contributions as well as techniques that address both problems: extraction of relevant features information from multisubject brain imaging data sets of the same modality or from fusion of brain imaging data sets collected from multimodalities.Read moreRead less
Solve it or Ignore it? The Challenge of Alignment Distortion and Creating Next Generation Automatic Facial Expression Detection. The last two decades have seen an escalating interest in automating the coding of facial expressions. Despite this keen interest, the promise of computer vision systems to accurately code facial expressions in natural circumstances remains elusive. Our interdisciplinary team will research a new paradigm to account for facial alignment distortion directly rather than ai ....Solve it or Ignore it? The Challenge of Alignment Distortion and Creating Next Generation Automatic Facial Expression Detection. The last two decades have seen an escalating interest in automating the coding of facial expressions. Despite this keen interest, the promise of computer vision systems to accurately code facial expressions in natural circumstances remains elusive. Our interdisciplinary team will research a new paradigm to account for facial alignment distortion directly rather than aiming to achieve invariance to it. The project will also research new data agnostic feature compaction capabilities to enable scalable learning on the world’s largest and challenging expression dataset available to us through international collaboration. Tackling these two major open problems will make accurate coding of facial expressions in natural environments achievable.Read moreRead less