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Australian State/Territory : WA
Field of Research : Image Processing
Research Topic : Software
Status : Closed
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  • Researchers (9)
  • Funded Activities (7)
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  • Funded Activity

    Discovery Projects - Grant ID: DP0771294

    Funder
    Australian Research Council
    Funding Amount
    $257,000.00
    Summary
    Automated Determination of the Pose of a Human from Visual Information  -  Markerless 3D Pose Recovery of Humans from Videos. The development of 3D human pose recovery has been sought by computer vision researchers for many years. Our results will, firstly, have benefit for Australia's standing in the international computer vision community. Over time, the research outcomes will be developed into a software product for rehabilitation analysis by recognizing discrepancies between the walking pat .... Automated Determination of the Pose of a Human from Visual Information  -  Markerless 3D Pose Recovery of Humans from Videos. The development of 3D human pose recovery has been sought by computer vision researchers for many years. Our results will, firstly, have benefit for Australia's standing in the international computer vision community. Over time, the research outcomes will be developed into a software product for rehabilitation analysis by recognizing discrepancies between the walking patterns of healthy individuals and those with abnormalities as a result of accidents or diseases. The Australian economy will benefit by the reduction in the lifetime cost of injuries. This software will also provide benefits to the movie animation, computer games industry, and the training of athletes.
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    Funded Activity

    Linkage Projects - Grant ID: LP160100495

    Funder
    Australian Research Council
    Funding Amount
    $275,000.00
    Summary
    Space-based space surveillance with robust computer vision algorithms. Space-based space surveillance with robust computer vision algorithms. This project aims to develop computer vision algorithms to detect man-made objects in space. These algorithms function on nanosatellite platforms, enabling space-based space surveillance. This technology is expected to provide always-on monitoring of the Earth's orbit to enhance existing defence infrastructure and protect vital space assets, including comm .... Space-based space surveillance with robust computer vision algorithms. Space-based space surveillance with robust computer vision algorithms. This project aims to develop computer vision algorithms to detect man-made objects in space. These algorithms function on nanosatellite platforms, enabling space-based space surveillance. This technology is expected to provide always-on monitoring of the Earth's orbit to enhance existing defence infrastructure and protect vital space assets, including communications and navigational satellites, in Earth’s orbit from collisions and covert sabotage. Increased space use by government and civilian agencies opens up opportunities for the space industry. This project is expected to develop Australia’s space surveillance capabilities, protect space assets and capture a growing market.
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    Funded Activity

    Discovery Projects - Grant ID: DP0344338

    Funder
    Australian Research Council
    Funding Amount
    $242,242.00
    Summary
    An automated 3D model-based object recognition system. A novel, practical 3D vision system is proposed as a platform for fundamental applied research in 3D data acquisition, object modelling and object recognition. The significance of the vision system lies in the advancement of knowledge in three key areas of computer vision, registration, recognition and error propagation. The result is a system capable of sensing, modelling and identifying arbitrarily shaped free-form objects in a scene, an a .... An automated 3D model-based object recognition system. A novel, practical 3D vision system is proposed as a platform for fundamental applied research in 3D data acquisition, object modelling and object recognition. The significance of the vision system lies in the advancement of knowledge in three key areas of computer vision, registration, recognition and error propagation. The result is a system capable of sensing, modelling and identifying arbitrarily shaped free-form objects in a scene, an attribute lacking in current systems. Such a system can provide substantial economic benefits to industrial procedures such as grasp planning and quality control.
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    Funded Activity

    Discovery Projects - Grant ID: DP0557157

    Funder
    Australian Research Council
    Funding Amount
    $293,000.00
    Summary
    A New Approach to Studying Whole Bodies and Body Parts Applied to Problems of Forensic Science. To bring to the study of whole humans and human body parts, new methods capable of major advances such as those already provided by DNA technology in the study of human tissues, cells and molecules. This will allow better identification of human groups, geographic populations, gender differences and ageing. To update facilities in forensic sciences strengthening Australian security systems thus he .... A New Approach to Studying Whole Bodies and Body Parts Applied to Problems of Forensic Science. To bring to the study of whole humans and human body parts, new methods capable of major advances such as those already provided by DNA technology in the study of human tissues, cells and molecules. This will allow better identification of human groups, geographic populations, gender differences and ageing. To update facilities in forensic sciences strengthening Australian security systems thus helping fight terrorism and crime. To establish international collaborations for Australia, especially with Asia. To train young people, through Master's and Doctoral degrees programmes, in handling the new techniques and applying them to problems of forensic science
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    Funded Activity

    Linkage Projects - Grant ID: LP120100595

    Funder
    Australian Research Council
    Funding Amount
    $145,000.00
    Summary
    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.
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    Funded Activity

    Discovery Early Career Researcher Award - Grant ID: DE120102960

    Funder
    Australian Research Council
    Funding Amount
    $375,000.00
    Summary
    Revocable multi-dimensional shape-based multimodal hand biometrics for personal identification and verification. This project will investigate a new personal verification system based on hand biometrics. It will make significant improvements by thwarting identity frauds; creating trust in ebanking and epayments; providing social acceptance of biometrics; helping immigration and passport control; and reducing use of plastic cards to safeguard the environment.
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    Funded Activity

    Discovery Projects - Grant ID: DP110102501

    Funder
    Australian Research Council
    Funding Amount
    $545,000.00
    Summary
    Real-time signal processing and distributed robotic telescope networking for co-detection of gravitational waves and their optical counterparts. An international collaboration of scientists will employ a global network of telescopes and detectors to search for ripples in space-time. The project will use novel computational tools to study exotic phenomena in the distant Universe.
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    Showing 1-7 of 7 Funded Activites

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