User profiles for Hannah M. Dee
Dr Hannah M. DeeLecturer in Computer Science, Aberystwyth University Verified email at aber.ac.uk Cited by 1149 |
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, 2008 - Springer
The problem of automated visual surveillance has spawned a lively research area, with 2005
seeing three conferences or workshops and special issues of two major journals devoted …
seeing three conferences or workshops and special issues of two major journals devoted …
[PDF][PDF] Detecting inexplicable behaviour.
This paper presents a novel approach to the detection of unusual or interesting events in
videos involving certain types of intentional behaviour, such as pedestrian scenes. The …
videos involving certain types of intentional behaviour, such as pedestrian scenes. The …
Face recognition using the POEM descriptor
Real-world face recognition systems require careful balancing of three concerns: computational
cost, robustness, and discriminative power. In this paper we describe a new descriptor, …
cost, robustness, and discriminative power. In this paper we describe a new descriptor, …
The perception and content of cast shadows: An interdisciplinary review
Recently, psychologists have turned their attention to the study of cast shadows and demonstrated
that the human perceptual system values information from shadows very highly in the …
that the human perceptual system values information from shadows very highly in the …
Leaf segmentation through the classification of edges
J Bell, HM Dee - arXiv preprint arXiv:1904.03124, 2019 - arxiv.org
We present an approach to leaf level segmentation of images of Arabidopsis thaliana plants
based upon detected edges. We introduce a novel approach to edge classification, which …
based upon detected edges. We introduce a novel approach to edge classification, which …
Crowd behaviour analysis using histograms of motion direction
A practical system for the automated analysis of crowded scenes will have to deal with multiple
occlusions and tracking failures, in a context in which the cameras may move at any time …
occlusions and tracking failures, in a context in which the cameras may move at any time …
Why are we still here? Experiences of successful women in computing
This paper describes a study into the attitudes and experiences of women at three distinct
stages of the career pipeline: undergraduate, graduate student, and staff. Computing has often …
stages of the career pipeline: undergraduate, graduate student, and staff. Computing has often …
Qualitative robot localisation using information from cast shadows
Recently, cognitive psychologists and others have turned their attention to the formerly neglected
study of shadows, and the information they purvey. These studies show that the human …
study of shadows, and the information they purvey. These studies show that the human …
On the feasibility of using a cognitive model to filter surveillance data
This paper describes a novel approach to the problem of automated visual surveillance. The
authors have extended an existing algorithm which uses a cognitive model of navigation to …
authors have extended an existing algorithm which uses a cognitive model of navigation to …
Scene modelling and classification using learned spatial relations
This paper describes a method for building visual scene models from video data using
quantized descriptions of motion. This method enables us to make meaningful statements about …
quantized descriptions of motion. This method enables us to make meaningful statements about …