- UHRA Home
- Browsing by Author
Browsing by Author "George, S."
Now showing items 1-17 of 17
-
Analysing Hierarchical Data Using a Stochastic Evolutionary Neural Tree
Adams, R.G.; Davey, N.; George, S. (1998)SCENT is simple competitive neural network model that evolves a tree structured set of nodes in response to being presented with an unlabelled data set. The resulting set of weight vectors and their relationship can be ... -
The analysis of animate object motion using neural networks and snakes
Tabb, Ken; George, S.; Davey, N.; Adams, R.G. (2000)This paper presents a mechanism for analysing the deformable shape of an object as it moves across the visual field. An object’s outline is detected using active contour models, and is then re-represented as shape, location ... -
Analysis of human motion using snakes and neural networks
Tabb, Ken; George, S.; Davey, N.; Adams, R.G. (2000)A novel technique is described for analysing human movement in outdoor scenes. Following initial detection of the humans using active contour models, the contours are then re-represented as normalised axis crossover vectors. ... -
The Architecture and Performance of a Stochastic Competitive Evolutionary Neural Tree Network
Davey, N.; Adams, R.G.; George, S. (2000)A new dynamic tree structured network - the Stochastic Competitive Evolutionary Neural Tree (SCENT) is introduced. The network is able to provide a hierarchical classification of unlabelled data sets. The main advantage ... -
Artificial evolution: modelling the development of the retina
Rust, A.G.; Adams, R.G.; George, S.; Bolouri, H. (University of Hertfordshire, 1996)The evolution of neural systems relies on the repeated modification of developmental programmes contained within genes. This paper proposes that to efficiently investigate artificial evolution, developmental processes must ... -
Detecting partial occlusion of humans using snakes and neural networks
Tabb, Ken; Davey, N.; George, S.; Adams, R.G. (1999)This paper summarises the development of a computer system designed to detect moving humans in an image or series of images. The system combines the use of active contour models, ‘snakes’, which detect human objects in an ... -
Developmental artificial neural networks for shape recognition: a model of the retina
Rust, A.G.; George, S.; Bolouri, H.; Adams, R.G. (University of Hertfordshire, 1996)There has been recent interest in mimicking the self-organising processes of biological development to design artificial neural networks. An a priori decision must however be made as to the degree of biological detail ... -
Developmental evolution of an edge detecting retina
Rust, A.G.; Adams, R.G.; George, S.; Bolouri, H. (Springer Nature, 1998) -
Evolution of developmental ontogeny for robustly reproducible phenotypes
Rust, A.G.; Adams, R.G.; George, S.; Bolouri, H. (University of Hertfordshire, 1998)Development has been used by a number of researchers as an efficient means of nonlinearly decoding genetic information is evolutionary systems. We show that developmental routines which do not utilise cell-cell interactions ... -
Human shape recognition from snakes using neural networks
Tabb, Ken; Davey, N.; George, S.; Adams, R.G. (Institute of Electrical and Electronics Engineers (IEEE), 1999)This paper documents experiments which have been carried out with several neural network systems designed to categorise pedestrian shapes from non-pedestrian shapes. Active Contour models (‘Snakes’) [1] have been used to ... -
A Hybrid Detection and Classification System for Human Motion Analysis
Tabb, Ken; Davey, N.; Adams, R.G.; George, S. (Springer Nature, 2002) -
Molecular self-organisation in a developmental model for the evolution of large-scale artificial neural networks
Bolouri, H.; Adams, R.G.; George, S.; Rust, A.G. (1998)We argue that molecular self-organisation during embryonic development allows evolution to perform highly nonlinear combinatorial optimisation. A structured approach to architectural optimisation of large-scale Artificial ... -
A neural network model of visual object recognition impairment after brain damage
Davey, N.; Frank, R.; Gale, T.M.; George, S. (1998)Dysfunction of the visual object recognition system in humans is briefly discussed and a basic connectionist model of visual object recognition is introduced. Experimentation in which two variants of this model are lesioned ... -
Omni-directional motion: pedestrian shape classification using neural networks and active contour models
Tabb, Ken; George, S.; Davey, N.; Adams, R.G. (2001)This paper describes a hybrid vision system which, following initial user interaction, can detect and track objects in the visual field, and classify them as human and non-human. The system incorporates an active contour ... -
The Recognition and Analysis of Animate Objects using Neural Networks and Active Contour Models
Tabb, Ken; Davey, N.; Adams, R.G.; George, S. (2002-03) -
Snakes and their influence on visual processing
Tabb, Ken; George, S. (University of Hertfordshire, 1998)Consideration is given to the use of snakes (active contour models) for tracking objects in a visual field. The basic theory of snakes is covered, and a greater depth of analysis is given to both the original [1] and the ... -
Towards Computational Neural Systems through Developmental Evolution
Rust, A.G.; Adams, R.G.; George, S.; Bolouri, H. (2001)The capability of creating artificial neural networks with biologically-plausible characteristics, is becoming ever more attainable through the greater understanding of biological neural systems and the constant increases ...