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Scheme : Linkage Projects
Field of Research : Computer Vision
Research Topic : Machine Tools
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  • Researchers (24)
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  • Funded Activity

    Linkage Projects - Grant ID: LP100200430

    Funder
    Australian Research Council
    Funding Amount
    $255,000.00
    Summary
    Design of adaptive learning visual sensor networks for crowd modelling in high-density and occluded scenarios. Partnering University of Melbourne researchers, with video surveillance experts SenSen, engineering consultants ARUP and the Melbourne Cricket Club, the project addresses research enabling a system-integrating, existing surveillance, infrastructure to model crowd behaviour and exit strategies, providing real-time analysis, prediction and response capabilities for venue managers and emer .... Design of adaptive learning visual sensor networks for crowd modelling in high-density and occluded scenarios. Partnering University of Melbourne researchers, with video surveillance experts SenSen, engineering consultants ARUP and the Melbourne Cricket Club, the project addresses research enabling a system-integrating, existing surveillance, infrastructure to model crowd behaviour and exit strategies, providing real-time analysis, prediction and response capabilities for venue managers and emergency services. This new capability enhances utilisation of security resources to prevent injury and fatalities in evacuation scenarios, applicable to existing venues and influencing the development of new facilities around the country. The project delivers researcher training, global clientele for local technology and a platform for local industry growth.
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    Funded Activity

    Linkage Projects - Grant ID: LP0989998

    Funder
    Australian Research Council
    Funding Amount
    $320,000.00
    Summary
    Autonomous repeatable surveys for long term monitoring of marine habitats. Australia has committed to using marine resources in a sustainable manner and to conserve the biodiversity of its marine habitats. In order to manage its marine environment effectively, marine scientists, managers and policy makers require timely and accurate information on the state of the environment. Current knowledge and techniques are limited and will have difficulty scaling to satisfy Australia's needs. A monitorin .... Autonomous repeatable surveys for long term monitoring of marine habitats. Australia has committed to using marine resources in a sustainable manner and to conserve the biodiversity of its marine habitats. In order to manage its marine environment effectively, marine scientists, managers and policy makers require timely and accurate information on the state of the environment. Current knowledge and techniques are limited and will have difficulty scaling to satisfy Australia's needs. A monitoring system that relies on machines to perform a substantial fraction of survey work and basic data analysis can scale more easily and provide more information at lower costs.
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    Funded Activity

    Linkage Projects - Grant ID: LP0883359

    Funder
    Australian Research Council
    Funding Amount
    $483,400.00
    Summary
    Smart technologies for people with vision impairment and blindness. Our technological solutions for early detection of disease provide the best opportunity for effective treatment, and provision of strategies capable of assisting individuals. It aims to empower primary care providers and will lead to more effective screening methods and improved efficiencies in redirecting resources towards those whose eye disease is treatable. It will further improve and enable access to specialist eye care fo .... Smart technologies for people with vision impairment and blindness. Our technological solutions for early detection of disease provide the best opportunity for effective treatment, and provision of strategies capable of assisting individuals. It aims to empower primary care providers and will lead to more effective screening methods and improved efficiencies in redirecting resources towards those whose eye disease is treatable. It will further improve and enable access to specialist eye care for those living in rural, regional and remote locations. The assistive technologies for the blind will greatly enhance the quality of life of the visually impaired, enhancing their quality of life and removing several risk factors. The net annual savings to the Government from these projects would be considerable.
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    Funded Activity

    Linkage Projects - Grant ID: LP0561867

    Funder
    Australian Research Council
    Funding Amount
    $747,000.00
    Summary
    INTELLIGENT SURVEILLANCE SYSTEMS FOR THE TRANSPORT INDUSTRY. Addressing core issues in Research Priority 4, Safeguarding Australia, we will develop frontier technologies for intelligent surveillance of public spaces, particularly in the transportation sector. The key outcomes of this project will be the use of a variety of novel sensors, in combination with new algorithms for analysing and responding to critical patterns of sensor data. Our collaboration with two high-profile industrial partners .... INTELLIGENT SURVEILLANCE SYSTEMS FOR THE TRANSPORT INDUSTRY. Addressing core issues in Research Priority 4, Safeguarding Australia, we will develop frontier technologies for intelligent surveillance of public spaces, particularly in the transportation sector. The key outcomes of this project will be the use of a variety of novel sensors, in combination with new algorithms for analysing and responding to critical patterns of sensor data. Our collaboration with two high-profile industrial partners with complementary capabilities, (DTI (specialising in public transport), and iOmniscient (specialising in surveillance technologies)), will ensure a high probability of success in the development of these technologies, and accelerate their introduction into the Australian and global markets.
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    Funded Activity

    Linkage Projects - Grant ID: LP0883347

    Funder
    Australian Research Council
    Funding Amount
    $340,000.00
    Summary
    Intelligent Security in Urban Spaces. Successful completion of this work will contribute greatly to Safeguarding Australia, Priority Area 4, and lead to further commercial exploitation on the national and international stages. In particular, we are responding to increasing demand from our partners for sophisticated surveillance systems for infrastructure and public transport. The adoption of these technologies by DTI, with international contracts for video surveillance, positions Australia to ga .... Intelligent Security in Urban Spaces. Successful completion of this work will contribute greatly to Safeguarding Australia, Priority Area 4, and lead to further commercial exploitation on the national and international stages. In particular, we are responding to increasing demand from our partners for sophisticated surveillance systems for infrastructure and public transport. The adoption of these technologies by DTI, with international contracts for video surveillance, positions Australia to gain the leading edge in this niche industry. Additionally we deliver solutions to our end user partners, PTA and WA Police, to facilitate enhanced community security. We will also build research capacity for surveillance technologies through advanced training of research staff.
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    Funded Activity

    Linkage Projects - Grant ID: LP140100939

    Funder
    Australian Research Council
    Funding Amount
    $232,132.00
    Summary
    Smart Information Processing for Roadside Fire Risk Assessment Using Computational Intelligence and Pattern Recognition. This project proposes a novel approach for identifying roadside fire risks using pattern recognition and computational intelligence techniques. The video data is collected over every state road in Queensland annually, and has the potential to provide a range of value-added products for safer roads. This project aims to develop new techniques for identification of roadside obje .... Smart Information Processing for Roadside Fire Risk Assessment Using Computational Intelligence and Pattern Recognition. This project proposes a novel approach for identifying roadside fire risks using pattern recognition and computational intelligence techniques. The video data is collected over every state road in Queensland annually, and has the potential to provide a range of value-added products for safer roads. This project aims to develop new techniques for identification of roadside objects so that the data can be automatically analysed allowing the estimation of fire risk factors. The final outcome intends to be techniques for segmentation and classification of roadside objects and estimation of fire risk factors.
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    Funded Activity

    Linkage Projects - Grant ID: LP120200089

    Funder
    Australian Research Council
    Funding Amount
    $495,000.00
    Summary
    Robust and scalable change detection in geo-spatial data. A flood of data in the form of text, images and video emanate from a proliferation of sensors. These data are collected but rarely analysed, rendering it meaningless. This project aims to develop new software and techniques to detect changes over time in large scale geographically referenced data (for example photomaps) for use across numerous domains.
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    Showing 1-7 of 7 Funded Activites

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