Development Of An Artificial Vision System For Motion Detection. This work will have a broader impact beyond the advancement of a particular area of neurophysiology since it aims to produce a simple, robust velocity estimator in computer models and subsequently in silicon chips. We have already demonstrated the feasibility of transferring our basic preliminary models onto VLSI chips. Consistent with National Research Priorities 3 (Frontier Technologies), 4 (Defence Technologies) & 2 (Promoting a ....Development Of An Artificial Vision System For Motion Detection. This work will have a broader impact beyond the advancement of a particular area of neurophysiology since it aims to produce a simple, robust velocity estimator in computer models and subsequently in silicon chips. We have already demonstrated the feasibility of transferring our basic preliminary models onto VLSI chips. Consistent with National Research Priorities 3 (Frontier Technologies), 4 (Defence Technologies) & 2 (Promoting and Maintaining Good Health) our work has applications in the area of miniature autonomous systems in defence and civilian roles, including miniature unmanned aerial vehicles and collision avoidance detectors, while in the longer term it will serve as the basis for designing implantable artificial eyes.Read moreRead less
Two-way Auslan: Automatic Machine Translation of Australian Sign Language. This project aims to develop an automatic two-way machine-translation system between Auslan (Australian Sign Language) and English by researching and leveraging advanced computer vision and machine learning technology. The project expects to advance research in AI technology on topics including visual recognition, language processing and deep learning. This will boost Australia's national research capacity and global com ....Two-way Auslan: Automatic Machine Translation of Australian Sign Language. This project aims to develop an automatic two-way machine-translation system between Auslan (Australian Sign Language) and English by researching and leveraging advanced computer vision and machine learning technology. The project expects to advance research in AI technology on topics including visual recognition, language processing and deep learning. This will boost Australia's national research capacity and global competitiveness. Expected outcomes of this project will help to break the communication barriers between the Deaf and hearing population. This should provide significant benefits to Deaf communities through enhanced communication and improved quality-of-life, leading to a fair, more inclusive and resilient Australian society.Read moreRead less
Special Research Initiatives - Grant ID: SR0354599
Funder
Australian Research Council
Funding Amount
$10,000.00
Summary
An Integrated Intelligent Bio-machines Network. The increasing use of computing, advanced materials, electronic control with biological or human applications has provided the need to strengthen the nexus of these discipline areas. This proposal is expected to identify the critical areas of integration that can be realistically developed into meaningful technologies and products in the short-to-medium term. The significance of this network is to enhance the science and technology required for sy ....An Integrated Intelligent Bio-machines Network. The increasing use of computing, advanced materials, electronic control with biological or human applications has provided the need to strengthen the nexus of these discipline areas. This proposal is expected to identify the critical areas of integration that can be realistically developed into meaningful technologies and products in the short-to-medium term. The significance of this network is to enhance the science and technology required for systems and products such as bionic eyes, legs, muscles and larynxes. These products and systems characterize the essence of this network: The integration of hardware and software with wetware (Humans).Read moreRead less
An Electro-Neural Vision System for the Blind. This project is aimed at the development of a device that can provide blind people with limited visual perception of the environment (i.e. alternative vision) via the use of miniature stereo video cameras, laser range sensors, vision processing equipment and electrodes placed on the surface of the skin for delivering the visual information to the brain.
Autocalibration without decimation. The insertion of computer generated characters into real footage, the removal of objects from video, and the recovery of 3-dimensional architectural or topographic models from photographs are amongst a growing number of processes used in industry which require highly accurate camera calibration. Autocalibration is thus a prerequisite for these and many other emerging image-based technologies. By developing expertise in this area, and particularly by enabling ....Autocalibration without decimation. The insertion of computer generated characters into real footage, the removal of objects from video, and the recovery of 3-dimensional architectural or topographic models from photographs are amongst a growing number of processes used in industry which require highly accurate camera calibration. Autocalibration is thus a prerequisite for these and many other emerging image-based technologies. By developing expertise in this area, and particularly by enabling more flexible and efficient means of autocalibration, we expect to provide Australian industry with a valuable improvement in the state of the art and a competitive edge in a number of important application areas.Read moreRead less
Combined shape and appearance descriptors for visual object recognition. The quantity of video generated each year is expanding rapidly. This increasing volume of visual information means that it is more likely that any particular event will be recorded, but that the footage will be harder to find. This applies to a collection of home videos as much as to television and movie footage. The object-recognition method to be developed has the potential to alleviate this situation, in which vast amou ....Combined shape and appearance descriptors for visual object recognition. The quantity of video generated each year is expanding rapidly. This increasing volume of visual information means that it is more likely that any particular event will be recorded, but that the footage will be harder to find. This applies to a collection of home videos as much as to television and movie footage. The object-recognition method to be developed has the potential to alleviate this situation, in which vast amounts of video data are available but have little value. Such an outcome would be a boon for Australian industry and offer a valuable export opportunity.Read moreRead less
Multi-objective parameter estimation techniques for computer vision. This project will benefit Australia's scientific knowledge and technology base in the area of computer vision. By contributing improved methods for parameter estimation applicable to a wide variety of technical problems, the project will aid the generation of improved software products in a wide variety of domains. Examples include: augmented reality systems, with which virtual reality artifacts may be immersed within real vid ....Multi-objective parameter estimation techniques for computer vision. This project will benefit Australia's scientific knowledge and technology base in the area of computer vision. By contributing improved methods for parameter estimation applicable to a wide variety of technical problems, the project will aid the generation of improved software products in a wide variety of domains. Examples include: augmented reality systems, with which virtual reality artifacts may be immersed within real video; 3D from 2D systems, with which 3D object structure may be computed from image streams; and visual robotic systems, with which the pose of viewed objects may be determined.Read moreRead less
Automated acquisition of surveillance-camera network topology. The development of an automated system for acquisition of camera network topology is a crucial prerequisite to obtaining intelligent surveillance systems operating at the network level. Such systems will contribute improved methods for safeguarding Australia from terrorism and crime by facilitating the tracking of suspicious individuals and vehicles, and detecting anomalous behaviours in busy environments. The leading-edge techniques ....Automated acquisition of surveillance-camera network topology. The development of an automated system for acquisition of camera network topology is a crucial prerequisite to obtaining intelligent surveillance systems operating at the network level. Such systems will contribute improved methods for safeguarding Australia from terrorism and crime by facilitating the tracking of suspicious individuals and vehicles, and detecting anomalous behaviours in busy environments. The leading-edge techniques involved will also constitute smart information use of significant commercial value to Australian industry. Read moreRead less
Enhanced parameter estimation for multi-component fitting in computer vision. This project will benefit Australia's scientific knowledge and technology base in the area of computer vision. By contributing improved methods for parameter estimation applicable to a wide variety of technical problems, the project will aid the generation of improved software products in a wide variety of domains. Examples include: augmented reality systems, with which virtual reality artifacts may be immersed within ....Enhanced parameter estimation for multi-component fitting in computer vision. This project will benefit Australia's scientific knowledge and technology base in the area of computer vision. By contributing improved methods for parameter estimation applicable to a wide variety of technical problems, the project will aid the generation of improved software products in a wide variety of domains. Examples include: augmented reality systems, with which virtual reality artifacts may be immersed within real video; behaviour analysis in surveillance, in which complex, articulated 3D object motions may be characterised.Read moreRead less