Tilo Burghardt

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Majid MirmehdiProfessor of Computer Vision, University of BristolVerified email at bristol.ac.uk
Dima DamenAssociate Professor, University of BristolVerified email at bristol.ac.uk
Sion HannunaUniversity of BristolVerified email at bris.ac.uk
Lili TaoUniversity of Bristol, University of the West of EnglandVerified email at bristol.ac.uk
Massimo CamplaniUniversity of BrisolVerified email at bristol.ac.uk
Adeline PaiementUniversité de Toulon, Laboratoire d'Informatique et des SystèmesVerified email at univ-tln.fr
Ian CraddockUniversity of BristolVerified email at bristol.ac.uk
Janko CalicSenior R&D Engineer, BBC Research and DevelopmentVerified email at bbc.co.uk
William AndrewUniversity of BristolVerified email at my.bristol.ac.uk
Hjalmar S. KühlMax Planck Institute for Evolutionary Anthropology, iDivVerified email at eva.mpg.de
Alessandro MasulloUniversity of BristolVerified email at bristol.ac.uk
Robert PiechockiUniversity of BristolVerified email at bristol.ac.uk
Toby PerrettUniversity of BristolVerified email at bristol.ac.uk
Víctor Ponce-LópezUniversity College London, University of BristolVerified email at ucl.ac.uk
Richard B SherleyCentre for Ecology and Conservation, University of ExeterVerified email at exeter.ac.uk
Innes CuthillProfessor of Behavioural Ecology, University of BristolVerified email at bristol.ac.uk
Colin GreatwoodDepartment of Aerospace Engineering, University of BristolVerified email at bristol.ac.uk
Joachim DenzlerProfessor für Informatik, Friedrich-Schiller University JenaVerified email at uni-jena.de
Clemens-Alexander BrustResearch Associate, Friedrich Schiller University JenaVerified email at uni-jena.de
Andrew DowseyProfessor, University of BristolVerified email at bristol.ac.uk

Tilo Burghardt

University of Bristol

Verified email at bristol.ac.uk - Homepage

Computer Vision Animal Biometrics


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Animal biometrics: quantifying and detecting phenotypic appearance HS Kühl, T Burghardt Trends in ecology & evolution 28 (7), 432-441, 2013	152	2013
Analysing animal behaviour in wildlife videos using face detection and tracking T Burghardt, J Ćalić IEE Proceedings-Vision, Image and Signal Processing 153 (3), 305-312, 2006	92	2006
Spotting the difference: towards fully-automated population monitoring of African penguins Spheniscus demersus RB Sherley, T Burghardt, PJ Barham, N Campbell, IC Cuthill Endangered Species Research 11 (2), 101-111, 2010	72	2010
A multi-modal sensor infrastructure for healthcare in a residential environment P Woznowski, X Fafoutis, T Song, S Hannuna, M Camplani, L Tao, ... 2015 IEEE International Conference on Communication Workshop (ICCW), 271-277, 2015	64	2015
Real-time RGB-D Tracking with Depth Scaling Kernelised Correlation Filters and Occlusion Handling. M Camplani, SL Hannuna, M Mirmehdi, D Damen, A Paiement, L Tao, ... BMVC 3, 2015	62	2015
Real-time face detection and tracking of animals T Burghardt, J Calic 2006 8th Seminar on Neural Network Applications in Electrical Engineering, 27-32, 2006	56	2006
A comparative study of pose representation and dynamics modelling for online motion quality assessment L Tao, A Paiement, D Damen, M Mirmehdi, S Hannuna, M Camplani, ... Computer vision and image understanding 148, 136-152, 2016	54	2016
Individual animal identification using visual biometrics on deformable coat patterns T Burghardt, N Campbell International Conference on Computer Vision Systems: Proceedings (2007), 2007	50	2007
Ds-kcf: a real-time tracker for rgb-d data S Hannuna, M Camplani, J Hall, M Mirmehdi, D Damen, T Burghardt, ... Journal of Real-Time Image Processing 16 (5), 1439-1458, 2019	48	2019
SPHERE: A sensor platform for healthcare in a residential environment P Woznowski, A Burrows, T Diethe, X Fafoutis, J Hall, S Hannuna, ... Designing, developing, and facilitating smart cities, 315-333, 2017	47	2017
Multiple human tracking in RGB-depth data: a survey M Camplani, A Paiement, M Mirmehdi, D Damen, S Hannuna, ... IET computer vision 11 (4), 265-285, 2016	46	2016
Automated visual recognition of individual african penguins T Burghardt, B Thomas, PJ Barham, J Calic	46	2004
Visual localisation and individual identification of holstein friesian cattle via deep learning W Andrew, C Greatwood, T Burghardt Proceedings of the IEEE International Conference on Computer Vision …, 2017	43	2017
Towards automated visual monitoring of individual gorillas in the wild CA Brust, T Burghardt, M Groenenberg, C Kading, HS Kuhl, ... Proceedings of the IEEE International Conference on Computer Vision …, 2017	37	2017
Visual animal biometrics T Burghardt Automatic Detection and Individual Identification by Coat Pattern, 2008	35	2008
Tracking Animals in Wildlife Videos Using Face Detection. T Burghardt, J Calic, BT Thomas EWIMT, 2004	35	2004
Towards intelligent content based retrieval of wildlife videos J Ćalić, N Campbell, A Calway, M Mirmehdi, T Burghardt, S Hannuna, ... Proceedings of the 6th International Workshop on Image Analysis for …, 2005	33	2005
Automated visual fin identification of individual great white sharks B Hughes, T Burghardt International Journal of Computer Vision 122 (3), 542-557, 2017	32	2017
Automated face detection for occurrence and occupancy estimation in chimpanzees AS Crunchant, M Egerer, A Loos, T Burghardt, K Zuberbühler, ... American journal of primatology 79 (3), e22627, 2017	22	2017
A comparative home activity monitoring study using visual and inertial sensors L Tao, T Burghardt, S Hannuna, M Camplani, A Paiement, D Damen, ... 2015 17th International Conference on E-health Networking, Application …, 2015	20	2015

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