Dr Hannah M. Dee
Dr Hannah M. Dee
Lecturer in Computer Science, Aberystwyth University
Verified email at aber.ac.uk - Homepage
TitleCited byYear
How close are we to solving the problem of automated visual surveillance?
HM Dee, SA Velastin
Machine Vision and Applications 19 (5-6), 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
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
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
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
Scene modelling and classification using learned spatial relations
HM Dee, DC Hogg, AG Cohn
International Conference on Spatial Information Theory, 295-311, 2009
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
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, D Hogg
Sixth International Workshop on Performance Evaluation of Tracking And …, 2004
Imaging methods for phenotyping of plant traits
D Rousseau, H Dee, T Pridmore
Phenomics in Crop Plants: Trends, Options and Limitations, 61-74, 2015
Special issue on computer vision and image analysis in plant phenotyping
H Scharr, H Dee, AP French, SA Tsaftaris
Machine Vision and Applications 27 (5), 607-609, 2016
Navigational strategies and surveillance
HM Dee, DC Hogg
Proc. IEEE International Workshop on Visual Surveillance, 73-81, 2006
Explaining visible behaviour
HM Dee
University of Leeds, 2005
Modelling scenes using the activity within them
HM Dee, R Fraile, DC Hogg, AG Cohn
International Conference on Spatial Cognition, 394-408, 2008
Reasoning about shadows in a mobile robot environment
V Fenelon, PE Santos, HM Dee, FG Cozman
Applied intelligence 38 (4), 553-565, 2013
Building semantic scene models from unconstrained video
HM Dee, AG Cohn, DC Hogg
Computer Vision and Image Understanding 116 (3), 446-456, 2012
From image processing to computer vision: plant imaging grows up
H Dee, A French
Functional Plant Biology 42 (5), iii-v, 2015
The bigger the better? A new look at Virtual Learning Environments
C Tebb, H Dee
Proceedings of the 4th International Conference on Information Technology …, 2003
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