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Category: Surveillance

ACVT has been working in the field of surveillance for many years. Much of this work has been in the Defence and Security space with DSTO and other Defence agencies. This has included involvement in Coastwatch and working on applications such as airborne surveillance imagery from UAVs. A focus of more recent work, some of which has been patented, has been automation in monitoring video from many cameras to generate an understanding of the paths which targets may take between their fields of view. ACVT employs novel methods for estimating the activity topology of a set of cameras based on an exclusion approach. The method is computationally fast, and does not rely on the tracking of objects within each camera view. In contrast to most existing methods for activity topology determination, it does not attempt to build up evidence for camera proximity over time. Instead, it uses observed activity to rule out topologies over time. Such approaches bring significant technical and economic benefits, particularly as the proliferation of surveillance cameras throughout public places has far outpaced the development of software to monitor the video they generate. The exclusion approach to topology estimation has been licenced to SNAP Network Surveillance for commercialisation, but the work in this area continues within the ACVT. Current projects are looking at improving the tracking of targets between cameras, and improving the topology estimation process.

Tracking targets in large scale surveillance camera networks (DP1094764)

ACVT has been awarded a 3 year ARC Discovery Grant valued at $195,000. The CIs are Dr Anthony Dick, Dr Henry Detmold. Dr Philip Torr of Oxford Brookes University in the UK is also a CI. Surveillance camera networks in public places such as airports and shopping malls may contain thousands of cameras. However, state […]

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ACVT at DICTA 2009

ACVT members Rhys Hill and Wojciech Chojnacki recently attended DICTA 2009 in Melbourne, presenting the papers: Measuring Latency for Video Surveillance Systems by Rhys Hill, Christopher Madden, Anton van den Hengel, Henry Detmold, and Anthony Dick. Multi-projective Parameter Estimation for Sets of Homogeneous Matrices by Wojciech Chojnacki, Rhys Hill, Anton van den Hengel, and Michael J. Brooks.

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Visual tracking of multiple objects: A stochastic geometrical approach (DP0880553)

Prof. David Suter (Then of Monash University) along with Associate Prof. B Vo has been awarded a 3 year ARC Discovery Grant valued at $235,000. Reliable real-time visual multiple-object tracking techniques will open up new applications that enhance the quality of life such as driving safety, traffic monitoring, home security, security and surveillance of public […]

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Statistical Methods of Model Fitting and Segmentation in Computer Vision (DP0878801)

Prof. David Suter (then of Monash University) and Professor A Bab-Hadiashar have been awarded a 4 year ARC Discovery Grant valued at $422,000. Electronic sensors such as cameras and lasers can provide a rich source of information about the position, shape, and motion of objects around us. However, to extract this information in a reliable, […]

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Automated acquisition of surveillance camera network topology (DP0770482)

ACVT has been awarded a 3 year ARC Discovery Grant valued at $201,000. The CIs are Prof. Mike Brooks and Dr Anthony Dick. 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 […]

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