A Filter for Visual Tracking Based on a Stochastic Model for Driver BehaviourMaybank, S.J., Worrall, A.D. and Sullivan, G.D. (1996) A Filter for Visual Tracking Based on a Stochastic Model for Driver Behaviour. In: 4th European Conference on Computer Vision, April 1996, Cambridge , UK, pp. 540-549. Full text not archived in this repository. It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing. Abstract/SummaryA driver controls a car by turning the steering wheel or by pressing on the accelerator or the brake. These actions are modelled by Gaussian processes, leading to a stochastic model for the motion of the car. The stochastic model is the basis of a new filter for tracking and predicting the motion of the car, using measurements obtained by fitting a rigid 3D model to a monocular sequence of video images. Experiments show that the filter easily outperforms traditional filters.
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