Tilo Burghardt
Cited by
Cited by
Perspectives in machine learning for wildlife conservation
D Tuia, B Kellenberger, S Beery, BR Costelloe, S Zuffi, B Risse, A Mathis, ...
Nature communications 13 (1), 792, 2022
Animal biometrics: quantifying and detecting phenotypic appearance
HS Kühl, T Burghardt
Trends in ecology & evolution 28 (7), 432-441, 2013
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
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
Temporal-Relational CrossTransformers for Few-Shot Action Recognition
T Perrett, A Masullo, T Burghardt, M Mirmehdi, D Damen
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021
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
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, ...
British Machine Vision Conference (BMVC) 3, 2015
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
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: Urban Design to IoT …, 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
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
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
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, 1439-1458, 2019
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, 2017
Aerial animal biometrics: Individual friesian cattle recovery and visual identification via an autonomous uav with onboard deep inference
W Andrew, C Greatwood, T Burghardt
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019
Automatic individual holstein friesian cattle identification via selective local coat pattern matching in RGB-D imagery
W Andrew, S Hannuna, N Campbell, T Burghardt
2016 IEEE International Conference on Image Processing (ICIP), 484-488, 2016
Automated visual fin identification of individual great white sharks
B Hughes, T Burghardt
International Journal of Computer Vision 122, 542-557, 2017
Automated visual recognition of individual african penguins
T Burghardt, B Thomas, PJ Barham, J Calic
International Penguin Conference, 2004
Individual animal identification using visual biometrics on deformable coat patterns
T Burghardt, N Campbell
International Conference on Computer Vision Systems: Proceedings (2007), 2007
Visual identification of individual Holstein-Friesian cattle via deep metric learning
W Andrew, J Gao, S Mullan, N Campbell, AW Dowsey, T Burghardt
Computers and Electronics in Agriculture 185, 106133, 2021
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