Now showing items 1-8 of 8
Omni-directional motion: pedestrian shape classification using neural networks and active contour models
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 ...
Analysis of human motion using snakes and neural networks
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 analysis of animate object motion using neural networks and snakes
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 ...
Detecting partial occlusion of humans using snakes and neural networks
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 ...
Human shape recognition from snakes using neural networks
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’)  have been used to ...
Snakes and their influence on visual processing
(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  and the ...