How close are we to solving the problem of automated visual surveillance? A review of real-world surveillance, scientific progress and evaluative mechanisms HM Dee, SA Velastin Machine Vision and Applications 19, 329-343, 2008 | 277 | 2008 |
Detecting inexplicable behaviour. HM Dee, DC Hogg BMVC, 1-10, 2004 | 162 | 2004 |
Face recognition using the POEM descriptor NS Vu, HM Dee, A Caplier Pattern Recognition 45 (7), 2478-2488, 2012 | 99 | 2012 |
A morphable face albedo model WAP Smith, A Seck, H Dee, B Tiddeman, JB Tenenbaum, B Egger Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 60 | 2020 |
The perception and content of cast shadows: An interdisciplinary review HM Dee, PE Santos Spatial Cognition & Computation 11 (3), 226-253, 2011 | 59 | 2011 |
Crowd behaviour analysis using histograms of motion direction HM Dee, A Caplier 2010 IEEE International Conference on Image Processing, 1545-1548, 2010 | 40 | 2010 |
Aberystwyth leaf evaluation dataset J Bell, HM Dee URL: https://doi. org/10.5281/zenodo 168158 (17-36), 2, 2016 | 35 | 2016 |
Why are we still here? Experiences of successful women in computing HM Dee, KE Petrie, RD Boyle, R Pau ACM SIGCSE Bulletin 41 (3), 233-237, 2009 | 33 | 2009 |
Special issue on computer vision and image analysis in plant phenotyping H Scharr, H Dee, AP French, SA Tsaftaris Machine Vision and Applications 27, 607-609, 2016 | 32 | 2016 |
Imaging methods for phenotyping of plant traits D Rousseau, H Dee, T Pridmore Phenomics in crop plants: trends, options and limitations, 61-74, 2015 | 26 | 2015 |
Qualitative robot localisation using information from cast shadows P Santos, HM Dee, V Fenelon 2009 IEEE International Conference on Robotics and Automation, 220-225, 2009 | 24 | 2009 |
Leaf segmentation through the classification of edges J Bell, HM Dee arXiv preprint arXiv:1904.03124, 2019 | 23 | 2019 |
On the feasibility of using a cognitive model to filter surveillance data HM Dee, DC Hogg IEEE Conference on Advanced Video and Signal Based Surveillance, 2005., 34-39, 2005 | 23 | 2005 |
Scene modelling and classification using learned spatial relations HM Dee, DC Hogg, AG Cohn Spatial Information Theory: 9th International Conference, COSIT 2009 Aber …, 2009 | 22 | 2009 |
Navigational strategies in behaviour modelling HM Dee, DC Hogg Artificial Intelligence 173 (2), 329-342, 2009 | 18 | 2009 |
Is it interesting? comparing human and machine judgements on the pets dataset H Dee, DC Hogg ECCV-PETS: the Performance Evaluation of Tracking and Surveillance workshop …, 2004 | 18 | 2004 |
Explaining visible behaviour HM Dee University of Leeds, 2005 | 14 | 2005 |
From image processing to computer vision: plant imaging grows up H Dee, A French Functional Plant Biology 42 (5), iii-v, 2015 | 13 | 2015 |
Navigational strategies and surveillance HM Dee, DC Hogg Proc. IEEE International Workshop on Visual Surveillance, 73-81, 2006 | 12 | 2006 |
Reasoning about shadows in a mobile robot environment V Fenelon, PE Santos, HM Dee, FG Cozman Applied Intelligence 38, 553-565, 2013 | 11 | 2013 |