Professor Andrew Hunter

Pro Vice Chancellor / Head of College of Science

(+44) (0) 1522 886456
ahunter@lincoln.ac.uk

Personal Assistant:

Tammie Farley
(+44) (0) 1522 886882
tfarley@lincoln.ac.uk


Role

Dean for Science, Technology and Engineering. Professor of Computer Vision and Artificial Intelligence. Professor Hunter is responsible for reviewing the University’s STEM provision on behalf of the Executive Board. He is a leading member of the Centre for Vision and Robotics Research, based in the School of Computer Science.


Biography

Prof. Hunter studied for his BSc Mathematics and Computing and PhD Computer Graphics at Bath University. He worked for several years in industry, in computer graphics and CAD/CAM software, before returning to academia. Prof. Hunter held posts at Sunderland and Durham Universities, before joining the University of Lincoln and becoming Head of Department of Computing in 2004, Dean of Research in 2007, and Dean for Science, Technology and Engineering in 2010. Professor Hunter has published over 80 academic papers, including more than 20 in international journals. He has also developed several freeware and commercial artificial intelligence software packages.


Qualifications/Memberships

Fellow British Computer Society, PhD Computer Graphics, Cert. Ed (HE), BSc Mathematics and Computing.


Committee Memberships

Professor Hunter is a member of the Executive Board, Academic Board, Commercial Enterprise Board, Academic Affairs Committee, Research Committee, Research and Enterprise Committee and Ethics Committee. He Chairs the Research Ethics Committee. He is also a member or chair of various working groups.


Research Interests

Professor Hunter's research interests are in computer vision and artificial intelligence, and particularly in medical applications of vision and automated surveillance. Major recent projects include: BRAINS, a TSB-sponsored project to develop embedded neurally-inspired smart sensor systems for surveillance based on FPGA technology; TOTALCARE, a TSB-sponsored project to develop an integrated automated in-home monitoring system for assistive care, including novel behaviour analysis; and retinal analysis, including detection and measurement of features of the retinal vasculature, and the application of level set methods and novel shape features in lesion detection and classification. He leads a small group of three Research Assistants and PhD students.


External Interests

Prof. Hunter has developed the leading freeware genetic algorithms simulator Sugal, which has a substantial worldwide user base.

Prof. Hunter is also the developer of a leading neural network simulation package, Trajan, which is marketed by Trajan Software Ltd.


Other Interests

Prof. Hunter enjoys walking, cycling, music and chess.


Representative Recent Publications

Assheton, P. and Hunter, A. A Shape-based Voting Algorithm for Pedestrian Detection and Tracking. Journal: Pattern Recognition.  In print 2010.

Wang, C.W. and Hunter, A. Robust Pose Recognition of the Obscured Human Body. International Journal of Computer Vision, In Press 2010.

Appiah, K. Hunter, A., Meng, H., Dickinson, P. Accelerated hardware object extraction and labelling: from object segmentation to connected components labelling. Computer Vision and Image Understanding, In Press 2010, doi:10.1016/j.cviu.2010.03.021.

Meng, H., Appiah, K., Yue, S., Hunter, A., et al. A modified model for the Lobula Giant Movement Detector and its FPGA implementation. Computer Vision and Image Understanding In Press 2010, doi:10.1016/j.cviu.2010.03.017

Al-Diri, B., Hunter, A., Steel, Habib, M. Automated analysis of retinal vascular network connectivity, Computerized Medical Imaging and Graphics, In Press 2010, doi:10.1016/j.compmedimag.2009.12.013.

Al-Diri, B., Hunter, A., Steel, D., Habib, M. (2010) Manual Measurement of Retinal Bifurcation Features. Proc. 32nd IEEE Conference of the Engineering in Medicine and Biology Society (EMBS 2010), Buenos Aires, Argentina.

Appiah, K., Hunter, A. , Dickinson, P. and Meng, H. (2010) Binary Object Recognition System on FPGA with bSOM. Proc. IEEE System on Chip Conference (SOCC 2010), Las Vegas, NV.

Appiah, K., Meng, H., Hunter, A. (2010) Binary Histogram based Split/Merge Object Detection using FPGAs. Proc. Sixth IEEE Workshop on Embedded Computer Vision (ECVW 2010), San Fransisco, CA.

Dickinson, P., Hunter, A. and Appiah, K. (2010) Segmenting Video Foreground Using a Multi-Class MRF. Proc. 20th International Conference on Pattern Recognition, ICPR 2010, Istanbul, Turkey.

Al-Diri, B., Hunter, A. Accurate Methods for Manually Marking Retinal Vessel Widths, Proceedings 7th European Symposium on Biomedical Engineering, Chalkidiki, Greece, 2010.

Wang, C.W. and Hunter, A. Real Time Pose Recognition of Covered Human for Diagnosis of Sleep Apnoea, Computerized Medical Imaging and Graphics, In Press 2009, doi:10.1016/j.compmedimag.2009.11.004.

Al-Diri, B. Hunter, A. and Steel, D. An active contour model for segmenting and measuring retinal vessels, IEEE Transactions on Medical Imaging. 2009, 28(9), pp.1488-97.

Dickinson, P. and Hunter, A. A spatially distributed model for foreground segmentation, Image and Vision Computing 27 (9). pp. 1326-1335, 2009. http://dx.doi.org/10.1016/j.imavis.2008.12.001.

Wang, C.W. and Hunter, A. A Low Variance Error Boosting Algorithm.Applied Intelligence, In Press, 2009. http://dx.doi.org/10.1007/s10489-009-0172-0.

Humphreys, J. and Hunter, A. Multiple object tracking using a neural cost function, Image and Vision Computing, 4 (3), pp. 417-424, March 2009.

Meng, H., Yue, S., Hunter, A., Appiah, K., Hobden, M., Priestley, N., Hobden, P. and Pettit, C.  (2009) A Modified Neural Network Model for Lobula Giant Movement Detector with Additional Depth Movement Feature. In: IEEE International Joint Conference on Neural Networks, June 14-29, 2009, Atlanta, Georgia.

Appiah, K. and Hunter, A. and Meng, H. and Yue, S. and Hobden, M. and Priestley, N., Hobden, P. and Pettit, C. (2009) A Binary Self-Organizing Map and its FPGA Implementation. In: IEEE International Joint Conference on Neural Networks, June 14-29, 2009, Atlanta, Georgia.

Meng, H., Appiah, K., Hunter, A., Yue, S., Hobden, M., Hobden, P. and Priestley, N. (2009) “A Modified Sparse Distributed Memory Model for Extracting Clean Patterns from Noisy Inputs” In: IEEE International Joint Conference on Neural Networks, June 14-29, 2009, Atlanta, Georgia.

Appiah, K., Hunter, A., Dickinson, P., Kluge, T. and Aiken, P. (2009) “FPGA-based Anomalous trajectory detection using SOFM.” In: Applied Reconfigurable Computing (ARC) Workshop, 16th – 18th March 2009, Karlsruhe Institut of Technology (KIT), Germany.

Massey, E., Lowell, J., Hunter, A., and Steel,D., “Lesion boundary segmentation using level set methods,” in Proc. Conf. on Computer Vision Theory and Practice (VisApp), Lisbon, Portugal, February 2009.

Appiah, K., Hunter, A., Dickinson, P. and Owens, J. (2008) “A Run-Length Based Connected Component Algorithm for FPGA Implementation.” In: International Conference on Field-Programmable Technology 2008, 7th - 10th December, Taipei, Taiwan .

B. Al-Diri, A. Hunter, D. Steel, et al., “Review - a reference data set for retinal vessel profiles,” in Proc. 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE EMBS, 2008.

Al-Diri, B., Hunter, A., Steel, D. and Habib, M. “Joining retinal vessel segments,” Proc. 8th IEEE International Conference on BioInformatics and BioEngineering (BIBE), October 2008.

Dickinson, P. and Hunter, A. “Using inactivity to detect unusual behavior,” Proc. IEEE Workshop on Motion and video Computing (WMVC 2008), pp. 1–6, January 2008.

Wang, CW and Hunter, A., “A robust pose matching algorithm for covered body analysis for sleep apnea,” Proceedings of the 8th IEEE International Conference on Bioinformatics and Bioengineering (IEEE BIBE), October 2008.


Other publications

Andrew Hunter's ePrints Record