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Australian State/Territory : NSW
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  • Funded Activity

    Linkage Projects - Grant ID: LP0668325

    Funder
    Australian Research Council
    Funding Amount
    $354,000.00
    Summary
    Automatic real-time detection of infiltrated objects for security of airports and train stations. Infiltrated objects represent a very high security threat in critical areas such as airports and train stations. In order to neutralise such a threat, this project will develop new automatic technologies capable of detecting infiltrated objects in sensitive areas in real time, analysing the movements of their original carriers in the nearby areas, and raising attention accordingly. The technologies .... Automatic real-time detection of infiltrated objects for security of airports and train stations. Infiltrated objects represent a very high security threat in critical areas such as airports and train stations. In order to neutralise such a threat, this project will develop new automatic technologies capable of detecting infiltrated objects in sensitive areas in real time, analysing the movements of their original carriers in the nearby areas, and raising attention accordingly. The technologies will be based on the automatic analysis of camera videos made by computers without the need for assessing or storing the identities of common passers-by. The potential of application is huge extending beyond airports and train stations to any public areas.
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    Funded Activity

    Discovery Projects - Grant ID: DP0453003

    Funder
    Australian Research Council
    Funding Amount
    $281,400.00
    Summary
    Highly Scalable Video Compression with Finely Embedded Motion Signalling. Highly scalable video compression is critical to the emergence of new applications in video distribution and management. Examples include interactive remote browsing of video and robust video surveillance over shared networks. Previous ARC funding produced fundamental breakthroughs in scalable video compression, resulting in a new paradigm which has been adopted by leading researchers in the field. The present project a .... Highly Scalable Video Compression with Finely Embedded Motion Signalling. Highly scalable video compression is critical to the emergence of new applications in video distribution and management. Examples include interactive remote browsing of video and robust video surveillance over shared networks. Previous ARC funding produced fundamental breakthroughs in scalable video compression, resulting in a new paradigm which has been adopted by leading researchers in the field. The present project addresses the two most important problems which currently limit the potential of this paradigm. Inspired by the applicant's recent discoveries, the outcomes of this project are likely to represent significant scientific breakthroughs and contribute to a new international video coding standard.
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    Funded Activity

    Discovery Projects - Grant ID: DP0987387

    Funder
    Australian Research Council
    Funding Amount
    $235,000.00
    Summary
    Automatic Recognition of Human Activities in Surveillance Videos: Overcoming the Curse of Dimensionality. This project will deliver a technology capable of automatically recognising human activities of interest in surveillance videos. The project will tackle the challenging, huge complexity inherent in the recognition of human activities by novel statistical pattern recognition techniques. The outcome of this project will be an effective activity recognition technology that will help monitor the .... Automatic Recognition of Human Activities in Surveillance Videos: Overcoming the Curse of Dimensionality. This project will deliver a technology capable of automatically recognising human activities of interest in surveillance videos. The project will tackle the challenging, huge complexity inherent in the recognition of human activities by novel statistical pattern recognition techniques. The outcome of this project will be an effective activity recognition technology that will help monitor the security and safety of environments and support the further development of the Australian video surveillance industry.
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    Funded Activity

    Discovery Projects - Grant ID: DP0452657

    Funder
    Australian Research Council
    Funding Amount
    $168,000.00
    Summary
    LittleBrother: Vision Systems Supporting Detection of Offenders in Public Places. Current visual surveillance systems can track people in an area only if complete camera coverage is provided. This project will develop a visual surveillance system able to track and record people's movements in a public building requiring only limited visual coverage. We will propose novel ways of matching images of a single individual from distant cameras by using features such as color histograms decomposed for .... LittleBrother: Vision Systems Supporting Detection of Offenders in Public Places. Current visual surveillance systems can track people in an area only if complete camera coverage is provided. This project will develop a visual surveillance system able to track and record people's movements in a public building requiring only limited visual coverage. We will propose novel ways of matching images of a single individual from distant cameras by using features such as color histograms decomposed for the different body parts, estimated height, and build type. Creating a record with this tracking information will effectively support security officers in the identification of responsible parties in the event of an offence.
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    Funded Activity

    Linkage Projects - Grant ID: LP0989721

    Funder
    Australian Research Council
    Funding Amount
    $330,000.00
    Summary
    Pattern Analysis and Risk Control of E-Commerce Transactions to Secure Online Payments. The instant filtering of risky online payments is critical for merchants and online payment service providers to control fraud and thus reduce immense losses every year. This project will deliver new and workable techniques for on-the-fly discovering e-payment fraudsters in e-commerce. It can safeguard Australian online businesses and build and transform Australian merchants and online payment associations by .... Pattern Analysis and Risk Control of E-Commerce Transactions to Secure Online Payments. The instant filtering of risky online payments is critical for merchants and online payment service providers to control fraud and thus reduce immense losses every year. This project will deliver new and workable techniques for on-the-fly discovering e-payment fraudsters in e-commerce. It can safeguard Australian online businesses and build and transform Australian merchants and online payment associations by delivering frontier techniques and smart e-payment fraud prevention and risk control to boost Australian online businesses and competitive capabilities globally. The resulting systems, researchers trained and publications will further enhance Australia's global leading role in tackling critical data mining challenges and applications.
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    Funded Activity

    Federation Fellowships - Grant ID: FF0561762

    Funder
    Australian Research Council
    Funding Amount
    $1,950,053.00
    Summary
    The diversity and assembly of optics in nature. Optics, such as the design of new coloured reflectors, is a research strength for Australia. A reason for this is the potential for application - optical devices can be found far and wide in our everyday lives, from security devices on banknotes (holograms), to computer monitors (LCDs). An interesting parallel exists in nature - animals possess similar optical devices to those we use. So it makes sense to examine the animals' devices in a search fo .... The diversity and assembly of optics in nature. Optics, such as the design of new coloured reflectors, is a research strength for Australia. A reason for this is the potential for application - optical devices can be found far and wide in our everyday lives, from security devices on banknotes (holograms), to computer monitors (LCDs). An interesting parallel exists in nature - animals possess similar optical devices to those we use. So it makes sense to examine the animals' devices in a search for new reflectors, and that's an aim of this project. And since reflectors are often difficult to make, why not let animals make reflectors for us? That is a further aim of this project. Soon we may have genetically-altered butterfly scales embedded in our credit cards that cannot be counterfeited.
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    Funded Activity

    Discovery Projects - Grant ID: DP0774118

    Funder
    Australian Research Council
    Funding Amount
    $231,090.00
    Summary
    Spectral Mutli-camera Tracking. This proposal falls well within the Research Priorities: ``Frontier Technologies for Building and Transforming Australian Industries'' and ``Safegaurding Australia''. This project, will have a direct impact in the capabilities of Australian industries to develop and implement new, leading edge technology in ICT and sensing. The technology developed throughout this project can be used to protect Australia, not only from terrorism and crime, but also from pests and .... Spectral Mutli-camera Tracking. This proposal falls well within the Research Priorities: ``Frontier Technologies for Building and Transforming Australian Industries'' and ``Safegaurding Australia''. This project, will have a direct impact in the capabilities of Australian industries to develop and implement new, leading edge technology in ICT and sensing. The technology developed throughout this project can be used to protect Australia, not only from terrorism and crime, but also from pests and diseases. The potential for biosecurity applications is a great advantage of spectral imaging and makes of this project an opportunity to track not only persons but also detect pests and diseases at strategic entry points throughout Australia, such as ports and airports.
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    Funded Activity

    Discovery Projects - Grant ID: DP0450997

    Funder
    Australian Research Council
    Funding Amount
    $180,000.00
    Summary
    Methodologies for face recognition under varying imaging conditions. Face recognition systems are heavily dependent on the nature of the input to the system. Variability in appearance due to changes in illumination, expression, pose, etc. can reduce the recognition results of the existing systems. The aim of this project is to develop new techniques to improve the recognition accuracy in natural environment where unwanted image variations exist. The development of such techniques will be of grea .... Methodologies for face recognition under varying imaging conditions. Face recognition systems are heavily dependent on the nature of the input to the system. Variability in appearance due to changes in illumination, expression, pose, etc. can reduce the recognition results of the existing systems. The aim of this project is to develop new techniques to improve the recognition accuracy in natural environment where unwanted image variations exist. The development of such techniques will be of great importance to Australia's security and safety. The outcome of this research will provide the first steps towards formulating the next generation recognition systems that will improve the suitability of the face recognition for use in security, surveillance, intelligent robotics, banking, and smart environments.
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    Funded Activity

    Linkage Projects - Grant ID: LP0560976

    Funder
    Australian Research Council
    Funding Amount
    $72,444.00
    Summary
    Securing Knowledge Processes in Organisations. This project will develop a methodology for identifying and comparing security risks associated with knowledge-intensive processes in organizations. The project addresses a significant area that has historically fallen between two research domains: organisational knowledge processes and systems, and critical information infrastructure protection. The project will establish a unified framework to balance the sharing and protection of information and .... Securing Knowledge Processes in Organisations. This project will develop a methodology for identifying and comparing security risks associated with knowledge-intensive processes in organizations. The project addresses a significant area that has historically fallen between two research domains: organisational knowledge processes and systems, and critical information infrastructure protection. The project will establish a unified framework to balance the sharing and protection of information and organizational knowledge. Outcomes include a framework for modelling knowledge-intensive processes to assess their security vulnerability, an associated methodology of creating security risk profiles of knowledge intensive processes and the validation of the methodology in 3 to 6 organizations.
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