| 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 | 225 | 2022 |
| Animal biometrics: quantifying and detecting phenotypic appearance HS Kühl, T Burghardt Trends in ecology & evolution 28 (7), 432-441, 2013 | 209 | 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 | 144 | 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 | 122 | 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 | 105 | 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 | 99 | 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 | 89 | 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 | 88 | 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 | 87 | 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 | 84 | 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 | 75 | 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 | 73 | 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 | 71 | 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 | 69 | 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 | 64 | 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 | 59 | 2016 |
| Automated visual fin identification of individual great white sharks B Hughes, T Burghardt International Journal of Computer Vision 122, 542-557, 2017 | 56 | 2017 |
| Automated visual recognition of individual african penguins T Burghardt, B Thomas, PJ Barham, J Calic International Penguin Conference, 2004 | 55 | 2004 |
| Individual animal identification using visual biometrics on deformable coat patterns T Burghardt, N Campbell International Conference on Computer Vision Systems: Proceedings (2007), 2007 | 54 | 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 | 50 | 2021 |
Majid MirmehdiProfessor of Computer Vision, FIAPR, FBMVA, University of BristolVerified email at bristol.ac.uk
