Robust face detection and recognition for computer-based security surveillance. The research aims at improving the existing and creating new automated face detection and recognition methods by making them invariant, firstly to head pose, orientation, scale and rotation, and then to occlusion, lighting conditions and facial expressions.
A robust face detector will be developed first and then a new face recognition algorithm that continues to learn identity-specific discriminants on-line by co ....Robust face detection and recognition for computer-based security surveillance. The research aims at improving the existing and creating new automated face detection and recognition methods by making them invariant, firstly to head pose, orientation, scale and rotation, and then to occlusion, lighting conditions and facial expressions.
A robust face detector will be developed first and then a new face recognition algorithm that continues to learn identity-specific discriminants on-line by collecting incremental face exemplars. The result of the research will be an algorithm that can improve its performance on-line adapting in a stable learning process each identity model to the correct facial examples.
The research has significant practical implication in visual surveillance increasing the robustness of identification of person identity, state and intent.
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Particle deposition in the human lung - Computer Aided Design. Inhaled particles can cause a variety pulmonary injuries and diseases such as asthma, bronchitis and chronic obstructive pulmonary disease (COPD) etc. A limited multiple-path model will be employed to simulate efficiencies of particle deposition in the human lung. The model developed in this work is different from other available models in that it is based on an asymmetrical branching network for first three generations. This project ....Particle deposition in the human lung - Computer Aided Design. Inhaled particles can cause a variety pulmonary injuries and diseases such as asthma, bronchitis and chronic obstructive pulmonary disease (COPD) etc. A limited multiple-path model will be employed to simulate efficiencies of particle deposition in the human lung. The model developed in this work is different from other available models in that it is based on an asymmetrical branching network for first three generations. This project aims to assist people to monitor atmospheric quantity and assess the risk of deposition of particles. A new commercial code will be developed as new marketable software packages.Read moreRead less
Methodologies for automatic visual identification in heat detection aids. New techniques will be designed and developed to automate the existing manual heat detection of cattle, under general imaging conditions. The proposed intelligent system will consist of six stages: 1- image acquisition, 2- image preprocessing, 3- presence detection, 4- illumination compensation, 5- HD detection, and 6- heat detection. The proposed system will handle various image variations, and will be fast and cost-effec ....Methodologies for automatic visual identification in heat detection aids. New techniques will be designed and developed to automate the existing manual heat detection of cattle, under general imaging conditions. The proposed intelligent system will consist of six stages: 1- image acquisition, 2- image preprocessing, 3- presence detection, 4- illumination compensation, 5- HD detection, and 6- heat detection. The proposed system will handle various image variations, and will be fast and cost-effective. The developed system will improve the productivity of Australian cattle industry.Read moreRead less
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.Read moreRead less
Developing Reliable Bio-Crypto Features for Mobile Template Protection. Cost of identity theft crimes were at multi-million dollars in Australia in 2007. Technically this is due to the fact that conventional personal identification number and token based security mechanisms cannot identify genuine users. Biometric fingerprint security systems emerge as a promising solution. However protection of the mobile embedded fingerprint template itself is an unresolved problem. The project aims to devel ....Developing Reliable Bio-Crypto Features for Mobile Template Protection. Cost of identity theft crimes were at multi-million dollars in Australia in 2007. Technically this is due to the fact that conventional personal identification number and token based security mechanisms cannot identify genuine users. Biometric fingerprint security systems emerge as a promising solution. However protection of the mobile embedded fingerprint template itself is an unresolved problem. The project aims to develop new ways designing bio-cryptosystems that provide strong security strength. The project will bring new body of knowledge into this field and place Australia in the forefront of this research, and also result in strengthened security of IT infrastructure and systems for industries.Read moreRead less
Special Research Initiatives - Grant ID: SR0563610
Funder
Australian Research Council
Funding Amount
$111,115.00
Summary
Developing an E-Platform for Application of Clinical Management in the Human Respiratory and Vascular System. This project aims to develop an E-PLATFORM that will provide a simulation-based virtual reality environment for clinical management and therapy treatment in the human respiratory and vascular system. One significant feature of the expected outcomes is the ability for surgeon or physician to adequately plan their treatment or operation decision-making of respiratory or vascular disease, i ....Developing an E-Platform for Application of Clinical Management in the Human Respiratory and Vascular System. This project aims to develop an E-PLATFORM that will provide a simulation-based virtual reality environment for clinical management and therapy treatment in the human respiratory and vascular system. One significant feature of the expected outcomes is the ability for surgeon or physician to adequately plan their treatment or operation decision-making of respiratory or vascular disease, in particular, from the point of view of flow analysis using state-of-the-art computational fluid dynamics techniques. This research proposal aims to facilitate new medical research and development for treatment of respiratory and/or vascular diseases, which can have a great socioeconomic benefit to the Australian community.Read moreRead less