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Tracking sports players over a large playing area is a challenging problem. The players move quickly, and have large variations in their silhouettes. This paper presents a framework for multi-object tracking, using a CONDENSATION based approach. Each player being tracked is independently fitted to a model, and the sampling probability for the group of(More)
Models of collective animal behaviour, such as the ocking of birds, are usually based upon simulations that appear to exhibit properties of the animals in question. In this paper, we describe an alternative approach; that of automatically extracting a model of animal behaviour from video sequences of real animals. Point distribution models (PDMs) are used(More)
Educators in computing and information technology (CIT) suggest a need for graduates going into the workplace to have a better understanding of professionalism and workplace issues. It is not enough for graduates to have technical capabilities. They must understand many aspects of CIT as a discipline. They should be aware of the various types of CIT(More)
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A method of extracting, classifying and modelling non-rigid shapes from an image sequence is presented. Shapes are approximated by polygons where the number of sides is related to the physical features of a shape class rather than any particular shape. A method of 'seeding' the polygonal approximation is given where 'seeds' are automatically extracted from(More)