Animal Biometrics: quantifying and detecting phenotypic appearance
Kuehl, H. & Burghardt, T. 2013 In : Trends in Ecology & Evolution. 28, 7, p. 432-441, DOI:10.1016/j.tree.2013.02.013
Synthesising unseen image conditions to enhance classification accuracy for sparse datasets: applied to chimpanzee face recognition
Sandwell, R. C., Loos, A. & Burghardt, T. 2013 British Machine Vision Workshop (BMVW), ISBN 1-901725-50-2
Fin-printing great white sharks Carcharodon carcharias: A fully automated computer vision system for the identification of individual animals
Hughes, B. J., Scholl, M., Cuthill, I. C. & Burghardt, T. 2013 9th International Conference on Behaviour, Physiology and Genetics of Wildlife
Fractal Representation and Recognition for Animal Biometrics
Kuehl, H. & Burghardt, T. 2013 In : Trends in Ecology & Evolution. 28, 9, p. 500-501, DOI:10.1016/j.tree.2013.06.007
Chimpanzee face detection: an automated system for images captured from natural environments
Sandwell, R. C. & Burghardt, T. 2013 9th International Conference on Behaviour, Physiology and Genetics of Wildlife (Materials, Poster)
Finprinting Great White Sharks
Hughes, B. J. & Burghardt, T. 2011 p. 4, 15th Annual Scientiﬁc Conference of the European Elasmobranch Association (EEA)
Crystal ID - Patent ID 1013432.8
Burghardt, T. & Barham, P. J. 2011
Spotting the difference: towards fully-automated population monitoring of African penguins Spheniscus demersus
Sherley, R. B., Burghardt, T., Barham, P. J., Cuthill, I. C. & Campbell, N. W. 2010 In : Endangered Species Research. 11, 2, p. 101 - 112 p.
Generic Phase Curl Localisation for an Individual Identification of Turing-patterned Animals
Burghardt, T. & Campbell, N. Aug 2010 VAIB 2010, held in conjunction with ICPR (20th International Conference in Pattern Recognition). p. 17-21
Computer Vision Monitoring of African Penguins Spheniscus demersus: New Data on the Field Capacity from Robben Island
Sherley, R. B., Burghardt, T., Barham, P. J. & Cuthill, I. C. 2010 7th International Penguin Conference (IPC2010).
Non-invasive Monitoring of Colonial Seabirds using Computer Vision: Scope and Limitations as Exemplified on African Penguins and Bank Cormorants
Sherley, R. B., Burghardt, T. & Barham, P. J. 2010 1st World Seabird Conference (WSC2010).
Dr Tilo Burghardt is a lecturer in the Department of Computer Science at the University of Bristol, UK. His research focus is on applied computer vision. He contributed to establishing Visual Animal Biometrics as an emerging cross-discipline routed in computer vision and ecology. He pioneered the study of visual object recognition in the ecological context of monitoring natural environments (working with Barham, Cuthill, Campbell, Thomas, Calic and Sherley). His research interests include the robust visual detection, identification and tracking of animals and their behaviour in unconstrained environments in order to support ecological research, behavioural biology, species conservation as well as related domains such as eco-tourism and wildlife documentation. His current focus is on the intersection between computer vision and the biological and physical sciences, including computational phenomics and physically uncloneable functions (PUFs). Specific applications of his work have led to the use of computer vision for monitoring endangered animal populations in their natural habitat, and visual methods to enable the secure authentication of plastic tags.
Outreach and Community. His research has reached out to the general public via the international press, national exhibitions and television (BBC News). His work contributed as a PhD student to the Royal Institution Christmas Lectures 2008/2009 with Chris Bishop and the Royal Society Summer Science Exhibition 2008. Burghardt has particupated in Futuretech Events and the 'Best of Bristol Lectures' to reach out to a next generation of vision engineers and scientists of all subjects. He has been local organizer of the 8th International Penguin Conference and the European Conference of Machine Learning 2012. He is a Chair of the British Machine Vision Conference 2013.
Academic Background. Burghardt graduated with Distinction in Media Computing (Bakk. Medien-Inf.) at Dresden University of Technology (Germany). Subsequently, he studied for a Master of Science degree in Advanced Computing (MSc) and a Doctorate in Computer Vision (PhD) from the University of Bristol (UK). After initial post-doctoral research funded by charity at the School of Physics, he was awarded a Fellowship of the Research Councils UK and started his first academic job as a Lecturer (2012-present) at the Dept of Computer Science. He is associated to both the Visual Information Laboratory and the Intelligent Systems Laboratory at the University of Bristol. Burghardt is a member of the British Machine Vision Association (BMVA) and the German Academic Foundation (Studienstiftung des Deutschen Volkes).
Current Teaching 2012/13
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