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Research interests
Applied Computer Vision, Animal Biometrics
Short Bio
Dr Tilo Burghardt's research focuses on applied computer vision and animal biometrics. His interests include the robust visual detection and identification in unconstrained environments. He contributed to establishing animal biometrics as an emerging cross-discipline routed in pattern recognition and computer vision. Tilo's enthusiasm for computer science and vision is reflected in his dedication to teaching the subject. In 2018 he received the University of Bristol 'Award for Education' for his educational contributions to the Engineering Faculty.
Tilo graduated with Distinction in Media Computing (Bakk. Medien-Inf.) at Dresden University of Technology (Germany). Subsequently, he received an MSc in Advanced Computing and PhD in Computer Vision from the University of Bristol (UK). After initial post-doctoral research at the School of Physics, he was awarded a Fellowship of the Research Councils UK and then became employed as a Lecturer and then Senior Lecturer at the Visual Information Laboratory and the Intelligent Systems Laboratory at the University of Bristol.
Tilo is Associate Editor of IET Computer Vision. He is a member of the British Machine Vision Association (BMVA) and the German Academic Foundation (Studienstiftung des Deutschen Volkes). He is a Fellow of the Higher Education Academy (HEA). Tilo has been a local organizer for the 23rd European Conference of Machine Learning (ECML-PKDD). He has been a chair of the 24th British Machine Vision Conference.
Positions
University of Bristol positions
Senior Lecturer
Department of Computer Science
Projects and supervisions
Thesis supervisions
Publications
Selected publications
27/01/2020Aerial Animal Biometrics
2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
DS-KCF
Journal of Real-Time Image Processing
CaloriNet
Automated Visual Fin Identification of Individual Great White Sharks
Animal Biometrics: quantifying and detecting phenotypic appearance
Trends in Ecology and Evolution
Recent publications
15/01/2021Visual Recognition of Great Ape Behaviours in the Wild
A Dataset and Application for Facial Recognition of Individual Gorillas in Zoo Environments
No Need for a Lab: Towards Multi-Sensory Fusion for Ambient Assisted Living in Real-World Living Homes
Meta-Learning with Context-Agnostic Initialisations
Asian Conference on Computer Vision
Aerial Animal Biometrics
2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)