Derek Magee
University Research Fellow

School of Computing
University of Leeds

[Cognitive Vision] [Car/Blob Tracking] [Cow Tracking] [Multi-modal Registration] [Football Tracking] [Ultrasound Simulator] [Digital Pathology]

I'm guest editor for a special issue of CVIU on Computer Vision Based Analysis in Sport Environments (please submit papers!).

I am presently employed under a 5 year University Research Fellowship (leading to tenure, after probation) within the School of Computing at the University of Leeds. My main research interests are in the medical domain, relating to medical image/volume (MRI, CT, PET and ultrasound) analysis and surgical simulation, and in visual surveillance and visual learning. I am a member of the Vision Group, a research group based within the school of computing. I completed my PhD within the group in 2000 (supervised by Prof. Roger Boyle) and was subsequently employed on a project relating to analysis of CT volumes for automatic generation of 3D anatomical models, for training and decision making in keyhole vascular intervention. More recently I was employed on the Cognitive Vision project with Prof. David Hogg and Prof. Tony Cohn. I still have a strong involvement with this project. For more details of my research follow the links:

2D/3D Analysis of Digital Pathology Images
Non-rigid multi-modal PET-MRI registration (Current Research)
Simulation of ultrasound guided needle insertion procedures (Current Research)
The CRaIVE Consortium Collaboration in Radiological Interventional Virtual Environments (Current Research)
The Cognitive Vision Project (Previous Research)
Automatic Generation of 3D Anatomical Models: training and decision making in keyhole vascular intervention (Previous Research)
Football (Soccer) tracking and analysis (Ongoing research)
The Electronic Stockmans Eye (PhD Project)

Some of my cow images have been included in the PASCAL object recognition database: http://www.pascal-network.org/challenges/VOC/. A short (ground-truthed) sequence is also available as part of the Oxford Moseg Data here.

Teaching

I am teaching the Computer Vision module (AI31) in the 2006/7 session. Formerly I taught the Speech, Audio and Image Processing module (AI21) for 4 years.

Research Students and Postdocs

I am always keen to hear from potential students, in particular people interested in areas relating to medical image analysis.

Andrew Bennett PhD student: Autonomous visual learning and representation

Andrew Hume PhD student: Behaviour Modelling and Indexing of Team Sports (supported by a CASE award from ProZone Ltd.)

Tracy Petrie PhD student: Improving Image quality in 4D Cone Beam CT

Jonathan Sykes PhD student: Optimisation of dose and image quality in cone beam CT for radiotherapy (Co-supervision with DS Brettle (Medical Physics, LGI), D Thwaites (Medical Physics, Cookridge) and A Morgan (Medical Physics, Cookridge))

Darren Treanor MD student: Computer aided analysis of electronic pathology images [Co-supervision with Phil Quirke (Pathology) and Andy Bulpitt]

Yanong (Allen) Zhu Postdoc: Computer simulation of ultrasound guided procedures (EPSRC funded grant), and Breast cancer analysis

Garsah Al-qarni PhD student: Wide area surveillance using shoe appearance and other cues (Co-supervision with Roger Boyle)

Former Research Students and Postdocs

Dan Hart Postdoc: Working on an industrially funded research project for ProZone Ltd.

Chris Needham Postdoc: Working on an industrially funded research project for ProZone Ltd.

Software

Various bits of software that I have written (and helped to write) are available here. Other useful bits and bobs are:

  • A perl script to rename a MS Visual C++ project (.NET 2003, but will probably work for previous versions)

  • Example VTK volume rendering application (with synthetic data). C++ File and MS Visual C++.NET 2003 project (zip file, assumes VTK installed in c:\VTK). This should work under all operating systems supported by VTK (although I've not tried it).

  • Example VTK ISO-surfacing (Marching Cubes) application (with synthetic data). C++ File and MS Visual C++.NET 2003 project (zip file, assumes VTK installed in c:\VTK). This should work under all operating systems supported by VTK (although I've not tried it).

    Prizes

    I have won the following prizes:

  • 1st Prize for "Publications and Training Materials" in Medipex Yorkshire and Humber NHS Innovations Competition 2007 (for ultrasound simulator)

  • 2nd Prize for ICT in Medipex national NHS Innovations Competition 2007

  • "Certificate of Merit" at Cardiovascular and Interventional Radiological Society of Europe Conference, 2006 (see publications below)

  • British Computer Society Machine Intelligence Prize 2004 (more details here)

  • The Industry Prize at the British Machine Vision Conference 2000

    Scholarly Activities

    I was/am on the program committees for the British Machine Vision Conference (2003-06), (and on the organising committee for 2008), Medical Image Understanding and Analysis (2005,2007) and IEEE International Workshop on Visual Surveillance (2006). I also have reviewed for the following journals; IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), IEEE Transactions on Medical Imaging, Computer Vision and Image Understanding, Pattern Recognition Letters, IEE Proceedings on Vision, Image & Signal Processing, Machine Vision Applications, Radiotherapy and Oncology, Information Fusion, Simulation Modelling Practice and Theory, and EURASIP Journal on Applied Signal Processing. I was the co-chair of the following workshop:

    CVBASE '06 - ECCV Workshop on Computer Vision Based Analysis in Sport Environments

    Journal Publications

  • Sykes J, Lindsay R, Dean C, Brettle D, Magee D, and Thwaites D, Measurement of a cone beam CT coincidence with a megavoltage isocentre and image sharpness using the QUASAR Penta-Guide phantom, Physics in Medicine and Biology, 2008 (To appear)

  • Bennett B., Magee D., Cohn A.G., and Hogg, D.C., Enhanced tracking and recognition of moving objects by reasoning about spatio-temporal continuity Image and Vision Computing, Vol. 26(1), pp67-81, 2008. Available here.

  • Magee D., Zhu Y., Ratnalingam R., Gardner P., and Kessel D., An Augmented Reality Simulator for Ultrasound Guided Needle Placement Training, Journal of Medical & Biological Engineering & Computing, Vol. 45, pp957-967, 2007 Available here.

  • Needham C.J., Santos P.E., Magee D.R., Devin V., Hogg, D.C. and Cohn A.G., Protocols from perceptual observations Artificial Intelligence Journal, Vol. 167, Issues 1-2, pp103-136, 2005. Available here.

  • Magee D. Tracking Multiple Vehicles using Foreground, Background and Motion Models . Image and Vision Computing , vol 22(2), pp143-155, 2004. Available here.

  • Magee D. and Boyle R. Detecting Lameness using `Re-sampling condensation' and `Multi-stream Cyclic Hidden Markov Models' . Image and Vision Computing , vol 20(8), pp 581-594, 2002. Available as a Research Report.

    • Other Refereed Publications

  • Magee D., Treanor D., and Quirke P., A New Image Registration algorith with application to 3D Histopathology Proc. Microscopic Image Analysis with Applications in Biology (MICCAI Workshop), 2008 (To Appear)

  • A. Bennett and D. Magee, Using Genetic Programming to Learn Models Containing Temporal Relations from Spatio-Temporal Data, Proc. 1st International Workshop on Combinations of Intelligent Methods and Applications , 2008. PDF
     
  • A. Bennett and D. Magee , Learning Sets of Sub-Models for Spatio-Temporal Prediction , Proc. SGAI International Conference on Artificial Intelligence (AI-2007), pp123-136, 2007
     
  • Y. Zhu, D. Magee, R. Ratnalingam, and D. Kessel, A Training System for Ultrasound-Guided Needle Insertion Procedures , Proc. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), pp566-574, 2007
     
  • R.A. Ratnalingam, D. Coates, J. Leong, D.O. Kessel, D. Magee, Y. Zhu, Computer assisted simulation of ultrasound guided procedures , Proc. Cardiovascular and Interventional Radiological Society of Europe Conference,, Poster 64, pp233, 2006 e-poster, CIRSE Abstracts Winner of Certificate of Merit
     
  • Zhu, Y., Magee D., Ratnalingam, R., Kessel, D., A Virtual Ultrasound Imaging System for the Simulation of Ultrasound-Guided Needle Insertion Procedures Proc. Medical Image Understanding and Analysis (MIUA), pp61-65, vol 1., 2006 PDF
     
  • Santos P., Magee D., Colton S., Predictive and Descriptive Approaches to Learning Game Rules from Vision Data Proc. Ibero-American Artificial Intelligence Conference, pp349-359, 2006 (Springer LNCS 2709) PDF
     
  • Jones, A. Wilcox, R., Magee, D., and Bulpitt, A., Level-set based medical image segmentation tools for the creation of spinal finite element models Proc. 7th International Symposium on Computer Methods in Biomechanics and Biomedical Engineering (CMBBE), 2006 (To Appear)
     
  • Magee, D., Tanner, S., Waller, M., McGonagle, D., and Jeavons, A. Registration of PET and MR hand volumes using Bayesian Networks Proc. ICCV Workshop on Computer Vision for Biomedical Image Applications, pp437-448, 2005 PDF.
     
  • Magee D.R., Needham C.J., Santos P.E. and Rao S., Inducing the focus of attention by observing patterns in space Proceedings Workshop on Modelling Others from Observations (MOO 2005), pp47-52, 2005
     
  • Magee D. and Kessel D., A Computer Based Simulator for Ultrasound Guided Needle Insertion Procedure, Proc. IEE International Conference on Visual Information Engineering, pp301-308, 2005. Available to PDF.
     
  • Bennett B., Magee D., Cohn A.G., and Hogg D.C., Using Spatio-temporal Continuity Constraints to Enhance Visual Tracking of Moving Objects, Proc. European Conference on Artificial Intelligence, pp 922-926, 2004. Available to PDF.
     
  • Santos P., Magee D., Cohn A.G., and Hogg D.C., Combining Multiple Answers for Learning Mathematical Structures from Visual Observation, Proc. European Conference on Artificial Intelligence, pp 544-548, 2004. PDF
     
  • Magee D., Needham C.J., Santos P., Cohn A.G. and Hogg D.C., Autonomous learning for a cognitive agent using continuous models and inductive logic programming from audio-visual input, Proc. AAAI Workshop on Anchoring Symbols to Sensor Data, (AAAI Press TR WS-04-03), pp17-24, 2004. PDF
     
  • Santos P., Magee D. and Cohn A., Looking for Logic in Vision, Proc. Eleventh Workshop on Automated Reasoning, pp61-62, 2004.
     
  • Magee D. and Leibe B., Online Face Tracking Using a Feature Driven Level-set, Proc. British Machine Vision Conference, pp419-428, 2003.
     
  • Magee D., A Sequential Scheduling Approach to Combining Multiple Object Classifiers Using Cross-entropy . Proc. IAPR International Workshop on Multiple Classifier Systems , pp135-145, 2003 (Springer LNCS 2709).
     
  • Magee D., Tracking Multiple Vehicles Using Foreground, Background and Motion Models . Proc. ECCV Workshop on Statistical Methods in Video Processing , pp7-12, June 2002. Available as a Research Report.
     
  • Galata A., Cohn A., Magee D. and Hogg D., Modeling Interaction Using Learnt Qualitative Spatial Relations and Variable Length Markov Models, Proc. 15th European Conference on Artificial Intelligence, Lyon, 2002. Available Here.
     
  • Magee D., A Qualitative, Multi-scale Grammar For Image Description and Analysis, Proc. British Machine Vision Conference, pp293-302, 2002.
     
  • Cohn A., Magee D., Galata A., Hogg D., Hazarika S., Towards an Architecture for Cognitive Vision using Qualative Spatio-Temporal Representations and Abduction . Proc. Spatial Cognition , June 2002, (Published in Spatial Cognition III, Freksa, C., Habel, C., & Wender, K.F. (Eds.)).
     
  • Galata A., Cohn A., Magee D. and Hogg D., Learning temporal and qualitative spatial components of an interaction model , Proc. ECCV Workshop on Vision and Modelling of Dynamic Scenes, 2002
     
  • Magee D., Bulpitt A. and Berry E. Combining 3D Deformable Models and Level Set Methods for the Segmentation of Abnormal Aortic Aneurysms . Proc. British Machine Vision Conference , September 2001, p333-342.
     
  • Magee D., Bulpitt A. and Berry E. 3D Automated Segmentation and Structural Analysis of Vascular Trees Using Deformable Models . Proc. IEEE Workshop on Variational and Level Set Methods (ICCV2001) , July 2001, pp119-126.
     
  • Magee D., Bulpitt A. and Berry E. Level Set Methods for the 3D Segmentation of CT Images of Abnormal Aortic Aneurysms . Proc. Medical Image Understanding and Analysis (MIUA) , July 2001, pp141-144.
     
  • Magee D. and Boyle R. Detecting lameness in livestock using resampling Condensation and multi-stream cyclic hidden markov models. Proc. British Machine Vision Conference , BMVA, September 2000, pp332-341. Available as a Research Report.  Winner of Best Industrial Paper Award
     
  • Magee D. and Boyle R. Spatio-temporal Modeling in the Farmyard Domain. Proc. IAPR International Workshop on Articulated Motion and Deformable Objects (AMDO'2000), Palma de Mallorca, Spain, September 2000, pp83-95. (Springer LNCS 1899) Available as a Research Report.
     
  • Magee D. and Boyle R. Building Class Sensitive Models for Tracking Applications. Proc. British Machine Vision Conference, BMVA, September 1999. Available as a Research Report.
     
  • Magee D. and Boyle R. Feature tracking in real world scenes (or how to track a cow). Proc. IEE Colloquium on Motion Analysis and Tracking, IEE, May 1999. Available as a Research Report.
     
  • Magee D. and Boyle R. Building Shape Models from Image Sequences Using Piecewise Linear Approximation. Proc. British Machine Vision Conference, pages 398-408. BMVA, September 1998. Available as a Research Report.

    • Other Publications (Invited)

    Hogg, D; Cohn, A G; Devin, V; Magee, D; Needham, C; Santos, P. Learning about objects and activites in 24th L.A.S.R (Leeds Annual Statistical Research) Workshop pp. 79-82, 2005. PDF

    Book Chapters

    Cohn, A G; Hogg, D C; Bennett B, Devin, V; Galata A, Magee, D; Needham, C; Santos, P. Cognitive Vision: Integrating Symbolic Qualitative Representations with Computer Vision in Cognitive Vision Systems: Sampling the spectrum of approaches, H. Christensen and H-H. Nagel (eds.), Springer Verlag, 2006.

    PhD Thesis (2000)

  • Magee D. Machine Vision Techniques for the Evaluation of Animal Behaviour PhD Thesis. Available for download here.

    Personal

    Some Photos

    Have a look at the page about my old band SLIDE.

    This is what I look like (check out the java app).

    photo of me Contact Details:

    email:          drm AT comp DOT leeds DOT ac DOT uk
    tel:               +44 113 343 6819
    fax:              +44 113 343 5468
    room:          7.11 E C Stoner
    address:     School of Computing, The University of Leeds, Leeds, LS2 9JT