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Homepage of Tilo Burghardt


Administrative Roles

Director of CS First
and Second Year
(shared with Nick Wu)
Personal Tutor
Project Supervisor

PhD (Bristol), MSc (Bristol), Bakk Medien-Inf (Dresden)


Teaching (Current term 2017/18)

COMS30121: Image Processing & Computer Vision (unit director)
COMS30400: Group Project (unit director)
COMS20001: Concurrent Computing (unit director)
COMS10009: Object-Oriented Programming (unit director)
COMSM0018: Applied Deep Learning (lecturer)
COMSM2202: Research Skills
COMSM3100: MSc Advanced Project
COMSM3201: MSc Project Computer Science

Previously Taught

COMS10001: Programming & Algorithms 2 (unit director)
COMS10004: Programming & Algorithms 2A (unit director)
COMS12800: Introduction to C++ (unit director)
COMS20600: Concurrency (unit director)
COMS22201: Language Engineering
EMATM0009: Complexity in Engineering and Science

Research Interest

Applied Computer Vision, Animal Biometrics, Natural Patterns

Contact

Office 3.42, MVB
Woodland Road
Clifton BS8 1UB

+44 (0) 117 954 5298
tb2935 (at) bristol.ac.uk


SAFE, BB, Forums, Tutorials: Y1, Y2, Linux, TT, Pure, Proactis, fEC, Google, Cal, GM


Shark FinID Paper New Deep Learning Unit DrivenData Competition Bristol VR Lab to Open SPHERE Project

Paper on Fin Identification of Great White Sharks in Int. Journal of Computer Vision

New for CS MEng Students:
Applied Deep Learning Unit for 2017/18

Species Detection Challenge:
Win 12k by deep learning on camera trap footage

3rd Year Games Project students to have access to a new Virtual Reality Lab

The SPHERE Project has been named a World Technology Award Winner
IET Computer Vision SI VWM Workshop at ICCV17 Calorie-count from RGB-D Fin Recognition Research Dagstuhl Seminar

Special IET CV Journal Issue:
Computer Vision for Animal Biometrics

1st International Workshop on Visual Wildlife Monitoring to run at ICCV2017!

Calorie-expenditure prediction from RGB-D vision, part of SPHERE

SoS Foundation adopts SharkID research for free online identification project

Dagstuhl Seminar:
Ecology meets Computer Science

SUMMARY

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 Visual Animal Biometrics as an emerging cross-discipline routed in computer vision. Burghardt's enthusiasm for computer science and vision is reflected in his dedication to teaching the subject.

Burghardt 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 (2012-2017) and then Senior Lecturer (2017-present) at 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). He is a Fellow of the Higher Education Academy (HEA). Burghardt has been a local organizer for the 23rd European Conference of Machine Learning 2012 (ECML-PKDD) and the 8th International Penguin Conference 2013 (IPC8). He has been a chair of the 24th British Machine Vision Conference (BMVC2013).


Current Research Students:

  • William Andrew (PhD student)

Research Student Alumni:

  • Luke Palmer (MSc by Research 2014)
  • Roz Sandwell (PhD 2015)
  • Ben Hughes (PhD 2016)

Current Final Year Student Projects:

    Deep Learning for the Identification of Individual Manta Rays
    A Deep Learning Application for Classifying Marine Calcareous Microfossils
    Individual Elephant Identification using DNN Biometrics
    Style Transfer via Cycle Loss using Deep Neural Networks
    Whiteboard2Website: Interactive Digital Visual Content Generation Tool
    Great Ape Detection by Motion Signature using CNNs

Some Former Final Year Student Projects:

    Ecological Prediction using Deconvolutional and Convolutional Neural Nets
    Iris Recognition using Low-cost Portable Devices
    Elephant Facial Biometrics using Convolutional Neural Networks
    Automatic Visual Detection of Speech and Pausing in Testimony Videos
    Classifying Marine Calcareous Microfossils
    Evaluating CNN Models for Animal Detection in Mobile Vision Applications
    Detecting Gorillas in Natural Images using CNNs
    LoD for Elephant-part Recognition using Hierarchical DPBMs
    CatIdentifier: Which cat is in the Photo?
    Music Score Interpretation from Sketches using a Native Mobile Platform
    Mammography Interpretation Tool using Computer Vision
    Insect Species Recognition via Combined Local and Global Features
    Enhancing AR Museum Guides Using Markerless Tracking and 3D Model Generation in a Web-Browser
    Visual Identification and Comparison of Bristol graffiti
    Object Specific Haar-like Features for Fast and Accurate Shark Fin Detection
    Salient Object Detection for Navigation of Mars-like Environments
RECENT PUBLICATIONS
CA Brust, T Burghardt, M Groenenberg, C Kaeding, HS Kuehl, M Manguette, J Denzler. Towards Automated Visual Monitoring of Individual Gorillas in the Wild. Visual Wildlife Monitoring (VWM) Workshop at IEEE International Conference of Computer Vision (ICCVW), October 2017. (CVF Paper Version)
W Andrew, C Greatwood, T Burghardt. Visual Localisation and Individual Identification of Holstein Friesian Cattle via Deep Learning. Visual Wildlife Monitoring (VWM) Workshop at IEEE International Conference of Computer Vision (ICCVW), October 2017. (Dataset FriesianCattle2017), (Dataset AerialCattle2017), (CVF Paper Version)
L Tao, T Burghardt, M Mirmehdi, D Damen, A Cooper, M Camplani, S Hannuna, A Paiment, I Craddock. Energy Expenditure Estimation using Visual and Inertial Sensors. IET Computer Vision SI, September 2017. (DOI:10.1049/iet-cvi.2017.0112), (Dataset SPHERE-Calorie)
G Camps-Valls, T Hickler, B Koenig-Ries (editors). Computer Science Meets Ecology (Dagstuhl Seminar 17091). In: Dagstuhl Reports, Vol 7, No 2, pp. 109-134, Leibniz-Zentrum fuer Informatik, September 2017. (DOI:10.4230/DagRep.7.2.109)
M Camplani, A Paiment, M Mirmehdi, D Damen, S Hannuna, T Burghardt, L Tao. Multiple Human Tracking in RGB-D Data: A Survey. IET Computer Vision. Vol 11(4):265-285, ISSN: 1751-9632. June 2017. (DOI:10.1049/iet-cvi.2016.0178)
B Hughes, T Burghardt. Automated Visual Fin Identification of Individual Great White Sharks. International Journal of Computer Vision (IJCV), Vol 122, No 3, pp. 542-557, May 2017. (DOI:10.1007/s11263-016-0961-y), (Dataset FinsScholl2456)
AS Crunchant, M Egerer, A Loos, T Burghardt, K Zuberbuehler, K Corogenes, V Leinert, L Kulik, HS Kuehl. Automated face detection for occurrence and occupancy estimation in chimpanzees. American Journal of Primatology. Vol 79, Issue 3, ISSN: 1098-2345. March 2017. (DOI 10.1002/ajp.22627)
PR Woznowski, A Burrows, T Diethe, X Fafoutis, J Hall, S Hannuna, M Camplani, N Twomey, M Kozlowski, B Tan, N Zhu, A Elsts, A Vafeas, A Paiement, L Tao, M Mirmehdi, T Burghardt, D Damen, P Flach, R Piechocki, I Craddock, G Oikonomou. SPHERE: A sensor platform for healthcare in a residential environment. Designing, Developing, and Facilitating Smart Cities: Urban Design to IoT Solutions. (V Angelakis, E Tragos, HC Poehls, A Kapovits, A Bassi (eds.)), Springer, pp. 315-333, January 2017. (DOI:10.1007/978-3-319-44924-1_14)
L Tao, T Burghardt, M Mirmehdi, D Damen, A Cooper, M Camplani, S Hannuna, A Paiment, I Craddock. Calorie Counter: RGB-Depth Visual Estimation of Energy Expenditure at Home. Workshop on Assistive Vision at Asian Conference of Computer Vision (ACCV). November 2016. (Online PDF), (Dataset SPHERE-Calorie)
S Hannuna, M Camplani, J Hall, M Mirmehdi, D Damen, T Burghardt, A Paiment, L Tao. DS-KCF: A real-time tracker for RGB-D data. Journal of Real-Time Image Processing. pp.1-20, November 2016. (DOI 10.1007/s11554-016-0654-3), (Rotational Dataset), (Code Download)
J Hall, M Camplani, S Hannuna, M Mirmehdi, L Tao, D Damen, T Burghardt, A Paiment. Designing a Video Monitoring System for AAL applications: The SPHERE Case Study. IET International Conference on Technologies for Active and Assisted Living (TechAAL). October 2016. (DOI:10.1049/ic.2016.0061)
L Tao, T Burghardt, M Mirmehdi, D Damen, A Cooper, M Camplani, S Hannuna, A Paiment, I Craddock. Real-time Estimation of Physical Activity Intensity for Daily Living. IET International Conference on Technologies for Active and Assisted Living (TechAAL). October 2016. (DOI:10.1049/ic.2016.0060)
W Andrew, S Hannuna, N Campbell, T Burghardt. Automatic Individual Holstein Friesian Cattle Identification via Selective Local Coat Pattern Matching in RGB-D Imagery. IEEE International Conference on Image Processing (ICIP), pp. 484-488, ISBN: 978-1-4673-9961-6, September 2016. (DOI:10.1109/ICIP.2016.7532404), (Dataset FriesianCattle2015)
L Tao, A Paiment, D Damen, M Mirmehdi, S Hannuna, M Camplani, T Burghardt, I Craddock. A Comparative Study of Pose Representation and Dynamics Modelling for Online Motion Quality Assessment. Computer Vision and Image Understanding, 148:136-152, Elsevier, May 2016. (DOI:10.1016/j.cviu.2015.11.016)
L Tao, T Burghardt, S Hannuna, M Camplani, A Paiement, D Damen, M Mirmehdi, I Craddock. A Comparative Home Activity Monitoring Study using Visual and Inertial Sensors. IEEE 17th International Conference on eHealth Networking, Applications and Services. pp.644-647, October 2015. (DOI:10.1109/HealthCom.2015.7454583), (Dataset SPHERE_H130)
D Gibson, T Burghardt, N Campbell, N Canagarajah. Towards Automating Visual In-Situ Monitoring of Crops Health. IEEE International Conference on Image Processing (ICIP), pp. 3906 - 3910, September 2015. (DOI:10.1109/ICIP.2015.7351537)
B Hughes, T Burghardt. Automated Identification of Individual Great White Sharks from Unrestricted Fin Imagery. 26th British Machine Vision Conference (BMVC), pp. 92.1-92.14, ISBN 1-901725-53-7, BMVA Press, September 2015. (DOI:10.5244/C.29.92), (Dataset FinsScholl2456)
M Camplani, S Hannuna, D Damen, M Mirmehdi, A Paiement, T Burghardt, L Tao. Robust Real-time RGB-D Tracking with Depth Scaling Kernelised Correlation Filters. 26th British Machine Vision Conference (BMVC), pp. 145.1-145.11, ISBN 1-901725-53-7, BMVA Press, September 2015. (DOI:10.5244/C.29.145), (Code Download)
B Hughes, T Burghardt. Affinity Matting for Pixel-accurate Fin Shape Recovery from Great White Shark Imagery. Machine Vision of Animals and their Behaviour (MVAB), Workshop at BMVC, pages 8.1-8.8. BMVA Press, September 2015. (DOI:10.5244/CW.29.MVAB.8), (Dataset FinsScholl2456)
T Burghardt, D Damen, W Mayol-Cuevas, M Mirmehdi (editors). Correspondence, Matching and Recognition. International Journal of Computer Vision (IJCV), Volume 113, Issue 3:161-162, ISSN 0920-5691, Springer, June 2015. (DOI:10.1007/s11263-015-0827-8)
P Woznowski, F Fafoutis, T Song, S Hannuna, M Camplani, L Tao, A Paiement, E Mellios, M Haghighi, N Zhu, G Hilton, D Damen, T Burghardt, M Mirmehdi, R Piechocki, D Kaleshi, I Craddock. A Multi-modal Sensor Infrastructure for Healthcare in Residential Environment. IEEE ICC Workshop on ICT-enabled Services and Technologies for eHealth and Ambient Assisted Living, 271-277, (DOI:10.1109/ICCW.2015.7247190), June 2015.
L Palmer, T Burghardt. Contextual Saliency for Nonrigid Landmark Registration and Recognition of Natural Patterns. International Conference on Computer Vision Theory and Applications (VISAPP), 403-410, ISBN: 978-989-758-089-5, March 2015. (DOI:10.5220/0005268604030410)
HS Kuehl, T Burghardt. Fractal Representation and Recognition for Animal Biometrics: A Reply to Jovani et al. Trends in Ecology and Evolution, Vol 28 No 9, 500-501, September 2013. (DOI:10.1016/j.tree.2013.06.007)
T Burghardt, D Damen, W Mayol-Cuevas, M Mirmehdi (editors). Proceedings of the 24th British Machine Vision Conference, BMVC2013. British Machine Vision Association (BMVA), ISBN 1-901725-49-9, BMVA Press. September 2013.
(BMVC 2013 Book of Abstracts, BMVC 2013 Website)
RC Sandwell, A Loos, T Burghardt. Synthesising Unseen Image Conditions to Enhance Classification Accuracy for Sparse Datasets: Applied to Chimpanzee Face Recognition. British Machine Vision Workshop (BMVW), BMVA Press, September 2013. (BMVW: ISBN 1-901725-50-2)
HS Kuehl, T Burghardt. Animal Biometrics: Quantifying and Detecting Phenotypic Appearance. Trends in Ecology and Evolution, Vol 28 No 7, 432-441, July 2013.
(DOI:10.1016/j.tree.2013.02.013)