• Visit from Education Minister Christopher Pyne, 2015

Awards and Recognition

  • Advanced Surveilance Team awarded Highest Impact Award at CVPR2015 Biometrics Workshop:  Most Citations over last 5 years. 2015.
  • Advanced Surveillance Team awarded Best Paper Prize at ISBA2015, Hong Kong, 2015.
  • Advanced Surveillance Team received The Best Research and Development project winner award (nomination code: AUS-REDE-13-05), APICTA (The Asia Pacific ICT Award), Thailand, 2011.
  • Best Paper Award: Sandra Mau, Farhad Dadgostar, Abbas Bigdeli and Brian Lovell, A Face Biometric Benchmarking Review and Characterisation, The First IEEE International Workshop on Benchmarking Facial Image Analysis Technologies (BeFIT), ICCV, 6-13 November 2011, Barcelona, Spain.
  • Advanced Surveillance Team won CCTV System of the Year (excluding cameras and lenses) for "Face in the Crowd" at IFSEC International Security Event, UK, 2011 (via a commercial partner).
  • Advanced Surveillance Team received The Best Research and Development Software winner award, iAward – National, Australia, 2011
  • Advanced Surveillance Team received The Best Research and Development Software merit award, iAward – State, Australia, Queensland, 2011
  • Brian Lovell elected President of the International Association for Pattern Recognition (IAPR), 2008
  • Brian Lovell elected Fellow of the IAPR, 2008
  • Most Cited Paper Award from Digital Signal Processing (Elsevier) in 2007 for Dr. Conrad Sanderson's paper: "Identity verification using speech and face information"

Invited Talks and Keynote Presentations

  • Keynote speech: Professor Brian Lovell, International Joint Conference on Biometrics, Washington DC, USA, October 2011.
  • Keynote speech: Professor Brian Lovell, The seventh IEEE workshop on embedded computer vision, Colorado Spring, CO, USA, 20 June 2011.
  • Keynote speech: Professor Brian Lovell, The Future of Security Surveillance: Reliable Person and Vehicle Recognition, FutureCCTV09, Raffles Hotel, Singapore May 19-21, 2009
  • Invited 1-Day Workshop: Professor Brian Lovell, Intelligent CCTV: Tricks of the Trade, FutureCCTV08, Singapore, 18 April 2008
  • Keynote speech: Professor Brian Lovell, Intelligent CCTV Project with Queensland Transport, FutureCCTV08, Raffles Hotel, Singapore, 16-17 April 2008
  • Keynote speech: Dr. Abbas Bigdeli, Intelligent CCTV Project with Queensland Transport, Transit Security and Infrastructure Design, Brisbane, 1 April 2008

Advanced Surveillance Team in Resilient Infrastructure Magazine

[read more].


CCTV Futures Report for Australian Customs and Border Protection

(released under FOI Act 1982).

Eyes in the sky: how unmanned aircraft could patrol our beaches (and more)

For the past hundred-odd years, commercial aviation has relied on a human pilot sitting behind the controls of an aircraft. Today, designers and engineers are beginning to ask: “Is it even necessary to have someone onboard? Can we have adequate control with the human pilot on the ground, rather than in the cockpit?”This school of thought is driving a revolution in aviation, with intelligent technology become thoroughly integrated into avionic systems and aeronautical processes. Sure, it might be a while before we see commercial airliners being piloted from the ground, but the development of miniature unmanned aircraft is well underway. [read more on "THE CONVERSATION"].

All-seeing eye: the future of surveillance and social media

Advanced surveillance and social media might seem like strange bedfellows. Until you look a bit closer, that is.Technologies developed for surveillance applications are typically designed with robustness in mind: that is, they should work reliably at all times in a variety of lighting conditions (indoor/outdoor) and effects (glare, saturation or shadows) [read more on "THE CONVERSATION"].

Something to watch over me: policing our national borders

Commercial ports, railway stations and other crucial infrastructure are at constant risk from security incidents that can halt operations and, more worryingly, put you and I in harm’s way.This is a reality around the world, and Australia is no different [read more on "THE CONVERSATION"].

Face-in-the-crowd biometrics: here’s looking secretly at you

In the surveillance world there are certain grand challenges – holy grails that researchers and those who use surveillance pursue doggedly, spurned on by the technical issues such challenges pose.Paramount in these is real-time face-in-the-crowd technology: a recognition system advanced enough to sift through large crowds of people, none of whom are consciously facing CCTV cameras, to get results [read more on "THE CONVERSATION"].

Big Brother is watching, but it’s nothing to fret about … honest

It’s hard to discuss public surveillance without immediately being asked about privacy issues. As technologists working on computer-based surveillance, it’s tempting to say this is outside our area of expertise, but we believe there may be a moral imperative to state our views on this thorny issue.Firstly, it would seem public perception of CCTV surveillance has changed over the years [read more on "THE CONVERSATION"].

You, yes you: welcome to the world of advanced surveillance

The use of surveillance in public spaces is growing at an unprecedented pace in response to acts of terror and threats to critical infrastructure. But while it is relatively easy (albeit expensive) to install increasing numbers of cameras, it is quite another issue to adequately monitor surveillance video [read more on "THE CONVERSATION"].

Best of CeBIT 2010

Video-based Face Recognition software at CeBIT Australia was chosen as one of the highlights of CeBIT in the news.

CeBIT Australia is the leading business event in the Asia Pacific region for Information and Communications Technology, and the biggest ICT exhibit in the country. This year, the exhibit was hosting about 600 exhibitors and 30000 visitors.


Related Projects



The aim of this project is to demonstrate the capabilities of the Advanced Surveillance face recognition system on low resolution images from the internet. The SAFE AS team has developed a web interface and client-server platform to run face recognition on database of around 4000 labelled, low-resolution images obtained from trolling the internet and from the Labeled Faces in the Wild public dataset provided by University of Massachutsetts. When a query image is given, the labelled dataset images are ranked in order of similarity and presented to the user.

Mobile Mugs


The aim of this project is to extend the application domain to mobile phones. The advantages of the face recognition algorithm developed from the research at Advanced Surveillance include its speed, robustness to environmental and pose factors and that it works well on low resolution images. Given its low computational requirements it is well suited to mobile applications, particularly for photos taken in varying conditions and via low quality mobile phone cameras. A prototype is being developed on the iPhone.

Intelligent CCTV for Proactive Security