Computer Vision Optimization Problems Using Machine Learning. Computer Vision concerns itself with understanding the world through the analysis of images obtained by a video or still camera. An important application is tracking of people in video and modelling their movements. This has evident applications in security, sport and entertainment. By enabling the computer to capture the motion of a subject in a video, we may detect suspicious activity in security, analyze the motion (golf-swing, ....Computer Vision Optimization Problems Using Machine Learning. Computer Vision concerns itself with understanding the world through the analysis of images obtained by a video or still camera. An important application is tracking of people in video and modelling their movements. This has evident applications in security, sport and entertainment. By enabling the computer to capture the motion of a subject in a video, we may detect suspicious activity in security, analyze the motion (golf-swing, diving style) of a sports-person, or capture the motion of an actor for animation or game applications. Development of a reliable technology requires new optimization techniques, which will place Australia at the forefront of the application of such research, commercially and for the public benefit.Read moreRead less
Pattern Recognition and Scene Analysis via Machine Learning. We plan to use kernel methods, a novel machine learning technique, for computer vision problems, such as scene analysis and real time object recognition. Such capabilities are relevant for the design of intelligent and adaptive systems, suitable for complex real world environments. Expected outcomes are the design of efficient statistical tools which take the special nature of visual data into account (structure, decomposition, prior ....Pattern Recognition and Scene Analysis via Machine Learning. We plan to use kernel methods, a novel machine learning technique, for computer vision problems, such as scene analysis and real time object recognition. Such capabilities are relevant for the design of intelligent and adaptive systems, suitable for complex real world environments. Expected outcomes are the design of efficient statistical tools which take the special nature of visual data into account (structure, decomposition, prior knowledge of physical environments, etc.) and combine the advantages of feature based high-level vision methods with low-level machine learning techniques.
This proposal is part of a joint IST project with partners from the European Union.Read moreRead less
Utilitarian Filmmaking in Australia 1945 - 1980. The project plans to discover, document, analyse and compile a lasting archive of utilitarian filmmaking in Australia. 'Utilitarian' describes client-sponsored, instructional and governmental filmmaking existing outside the conventional theatrical contexts by which cinema is usually defined. Focused on the post-World War Two decades before the proliferation of video in the late 1970s, the project aims to highlight previously-unstudied aspects of t ....Utilitarian Filmmaking in Australia 1945 - 1980. The project plans to discover, document, analyse and compile a lasting archive of utilitarian filmmaking in Australia. 'Utilitarian' describes client-sponsored, instructional and governmental filmmaking existing outside the conventional theatrical contexts by which cinema is usually defined. Focused on the post-World War Two decades before the proliferation of video in the late 1970s, the project aims to highlight previously-unstudied aspects of the media industries. This is designed to deliver new knowledge of the skills and subject matter that sustained filmmaking, communication and education in Australia during a time when conventional scholarship assumes there was almost no significant filmmaking.Read moreRead less
Visual Research in Social Aesthetics. Despite a few pioneering efforts beginning in the 1930s, visual anthropology (like anthropology itself) has largely confined its interest in aesthetics to studies of indigenous art. It has focused instead on technology, religion, economics, social structure, politics and ideology as the dominant forces in society. I believe this has limited the potential of visual anthropology, which is in fact ideally suited to studying the broader role of aesthetics in h ....Visual Research in Social Aesthetics. Despite a few pioneering efforts beginning in the 1930s, visual anthropology (like anthropology itself) has largely confined its interest in aesthetics to studies of indigenous art. It has focused instead on technology, religion, economics, social structure, politics and ideology as the dominant forces in society. I believe this has limited the potential of visual anthropology, which is in fact ideally suited to studying the broader role of aesthetics in human societies. The aim of this research is to examine how a reconsideration of the aesthetics of everyday life might form the basis for a revitalised visual anthropology.
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