Detecting, Locating and Tracking Human Faces using Skin Colour. With growing concerns for national security and public safety, government agencies in Australia and around the world are taking strong measures to introduce biometric-enhanced official identification documents such as passports, visas, and ID cards. The proposed face detection and tracking system will play a key role in personal identification and human activity monitoring. The developed system will have a huge potential in surveill ....Detecting, Locating and Tracking Human Faces using Skin Colour. With growing concerns for national security and public safety, government agencies in Australia and around the world are taking strong measures to introduce biometric-enhanced official identification documents such as passports, visas, and ID cards. The proposed face detection and tracking system will play a key role in personal identification and human activity monitoring. The developed system will have a huge potential in surveillance, security, law enforcement, and ICT. This project will contribute to building a knowledge economy in Australia and help safeguard and protect Australia from terrorism and crime. Furthermore, its outcomes will enhance the reputation of Australia as a leader in frontier technologies and smart information use.Read moreRead less
A Skin Detection Micro-Sensor for Face Identification using Color and Stereo Information. The objective of this research is to develop a micro-sensor for face identification, using color and stereo information. The micro-sensor chip performs a real-time search of the scene to locate human skin for subsequent face detection. This micro-sensor could also be used for gesture recognition, lip reading, monitoring driver's hypo-vigilance or tracking a person in a crowd. The chip image-recognition capa ....A Skin Detection Micro-Sensor for Face Identification using Color and Stereo Information. The objective of this research is to develop a micro-sensor for face identification, using color and stereo information. The micro-sensor chip performs a real-time search of the scene to locate human skin for subsequent face detection. This micro-sensor could also be used for gesture recognition, lip reading, monitoring driver's hypo-vigilance or tracking a person in a crowd. The chip image-recognition capabilities will spur the development of a new generation of consumer products with "intelligent eyes".
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A Phase III Trial Comparing Adjuvant Versus Salvage Radiotherapy For High Risk Patients Post Radical Prostatectomy
Funder
National Health and Medical Research Council
Funding Amount
$819,138.00
Summary
About half of all patients Treated with an operation to remove their prostate cancer have a high chance of the cancer coming back. Giving immediate radiotherapy to all patients will improve cure rates but does not benefit all men and can cause significant side effects. This study explores whether it is safe to wait and only give radiotherapy when there is a rising PSA after surgery indicating active cancer. A total of 470 men from Australasia will enter this study comparing the two approaches.
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE100100235
Funder
Australian Research Council
Funding Amount
$280,000.00
Summary
Accelerating Australia's large scale video surveillance research programmes. The research to be conducted using this infrastructure will bring immense benefits to Australia in terms of increased levels of public safety and in the protection of critical facilities from terrorism and other crimes, by developing better surveillance systems. This will provide both increases in measurable research outputs and opportunities for Australian business to commercialise these systems. The infrastructure wil ....Accelerating Australia's large scale video surveillance research programmes. The research to be conducted using this infrastructure will bring immense benefits to Australia in terms of increased levels of public safety and in the protection of critical facilities from terrorism and other crimes, by developing better surveillance systems. This will provide both increases in measurable research outputs and opportunities for Australian business to commercialise these systems. The infrastructure will accelerate the pace of surveillance research and development in Australia, enhancing the competitiveness of both Australia's researchers and the businesses that will commercialise these researchers' discoveries.Read moreRead less
Mitigating the risk of cyanobacterial blooms in wastewater ponds. Cyanobacterial blooms in wastewater treatment plants impact on effluent quality and the utility of recycled water, posing a significant risk to the economy, the environment and public health. To understand the causes of cyanobacterial blooms in pond-based wastewater treatment plants and the risk they pose, this project will use the latest molecular techniques to examine how the microbial communities within these systems interact w ....Mitigating the risk of cyanobacterial blooms in wastewater ponds. Cyanobacterial blooms in wastewater treatment plants impact on effluent quality and the utility of recycled water, posing a significant risk to the economy, the environment and public health. To understand the causes of cyanobacterial blooms in pond-based wastewater treatment plants and the risk they pose, this project will use the latest molecular techniques to examine how the microbial communities within these systems interact with each other and their surrounding environment to form blooms and produce toxins and other harmful metabolites. Such knowledge will inform risk assessment and provide strategies for the mitigation of future bloom events, improving the security of our increasingly valuable recycled water resources.Read moreRead less
Developing An Australian Valuation For The EQ-5D-5L Quality Of Life Instrument
Funder
National Health and Medical Research Council
Funding Amount
$348,357.00
Summary
In the assessment of gains resulting from a health technology, it is standard to consider both mortality and quality of life effects. This project explores how Australians value different components of quality of life. To do this, we are running an online survey called a discrete choice experiment, and analysing the data using a range of cutting-edge econometric techniques. This will allow policy-makers to better reflect people's preferences when making decisions about new technologies.
A theoretical framework for practical partial fingerprint identification. Fingerprints captured from a crime scene are often partial and poor quality which makes it difficult to identify the criminal suspects from large databases. This project will find mathematical models which can estimate the missing information located in the blank areas of a partial fingerprint and effectively identify it.
Machine Learning for Fracture Risk Assessment from Simple Radiography. This project aims to develop a novel, reliable, low-cost system to detect poor bone health and assess fracture risk to help to prevent and manage osteoporosis-related fractures. Currently, osteoporosis-related fractures cost our health system millions of dollars annually and costs are increasing with our ageing population. Early detection of poor bone health will improve the effectiveness of preventive measures and ease this ....Machine Learning for Fracture Risk Assessment from Simple Radiography. This project aims to develop a novel, reliable, low-cost system to detect poor bone health and assess fracture risk to help to prevent and manage osteoporosis-related fractures. Currently, osteoporosis-related fractures cost our health system millions of dollars annually and costs are increasing with our ageing population. Early detection of poor bone health will improve the effectiveness of preventive measures and ease this burden. Current methods include unreliable, crude clinical and visual guides that suggest osteoporosis screening. The project plans to develop a novel system by applying machine learning algorithms to radiology data which is commonly captured for diagnosing other conditions.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0775548
Funder
Australian Research Council
Funding Amount
$180,000.00
Summary
Advanced characterisation facilities for functional nanostructured materials. A critical factor that enhances frontier research is a set of advanced core research experimental facilities for material characterisation purposes. The proposed equipment aims to: (1) provide research facilities for advanced nanomaterial research; (2) improve national competitiveness and growth in a knowledge-based economy; and (3) foster local talented researchers in order to meet the strategic needs of the nation fo ....Advanced characterisation facilities for functional nanostructured materials. A critical factor that enhances frontier research is a set of advanced core research experimental facilities for material characterisation purposes. The proposed equipment aims to: (1) provide research facilities for advanced nanomaterial research; (2) improve national competitiveness and growth in a knowledge-based economy; and (3) foster local talented researchers in order to meet the strategic needs of the nation for a sustainable environment. These activities will revitalise Australia's leading role in creating new technologies with particular relevance to using advanced nanostructures for the production of clean air and water, and sustainable energy alternatives.Read moreRead less
Energy big data analytics from a cybersecurity perspective. This project aims to develop a framework on energy big data analytics from security and privacy perspectives. Unlike other big data analytics such as social network big data analytics, energy big data analytics involve research challenges on how to cope with real-time tight cyber-physical couplings, and security/safety of the smart grid system. This project will develop advanced data-driven algorithms that are capable of detecting coord ....Energy big data analytics from a cybersecurity perspective. This project aims to develop a framework on energy big data analytics from security and privacy perspectives. Unlike other big data analytics such as social network big data analytics, energy big data analytics involve research challenges on how to cope with real-time tight cyber-physical couplings, and security/safety of the smart grid system. This project will develop advanced data-driven algorithms that are capable of detecting coordinated cyber-attacks that will potentially lead to catastrophic cascaded failures; and develop new solutions in detecting the false data-injection attacks that are conventionally considered as unobservable. This project will provide the benefit of enhancing our national critical infrastructure's security.Read moreRead less