Dr Hannah M. Dee
Dr Hannah M. Dee
Lecturer in Computer Science, Aberystwyth University
Verified email at - Homepage
Cited by
Cited by
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
Detecting inexplicable behaviour.
HM Dee, DC Hogg
BMVC, 1-10, 2004
Face recognition using the POEM descriptor
NS Vu, HM Dee, A Caplier
Pattern Recognition 45 (7), 2478-2488, 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
The perception and content of cast shadows: An interdisciplinary review
HM Dee, PE Santos
Spatial Cognition & Computation 11 (3), 226-253, 2011
Crowd behaviour analysis using histograms of motion direction
HM Dee, A Caplier
2010 IEEE International Conference on Image Processing, 1545-1548, 2010
Aberystwyth leaf evaluation dataset
J Bell, HM Dee
URL: https://doi. org/10.5281/zenodo 168158 (17-36), 2, 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
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
Imaging methods for phenotyping of plant traits
D Rousseau, H Dee, T Pridmore
Phenomics in crop plants: trends, options and limitations, 61-74, 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
Leaf segmentation through the classification of edges
J Bell, HM Dee
arXiv preprint arXiv:1904.03124, 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
Scene modelling and classification using learned spatial relations
HM Dee, DC Hogg, AG Cohn
Spatial Information Theory: 9th International Conference, COSIT 2009 Aber …, 2009
Navigational strategies in behaviour modelling
HM Dee, DC Hogg
Artificial Intelligence 173 (2), 329-342, 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
Explaining visible behaviour
HM Dee
University of Leeds, 2005
From image processing to computer vision: plant imaging grows up
H Dee, A French
Functional Plant Biology 42 (5), iii-v, 2015
Navigational strategies and surveillance
HM Dee, DC Hogg
Proc. IEEE International Workshop on Visual Surveillance, 73-81, 2006
Reasoning about shadows in a mobile robot environment
V Fenelon, PE Santos, HM Dee, FG Cozman
Applied Intelligence 38, 553-565, 2013
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