David Hutber

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The use of Machine Learning techniques applied to visual data is described, within the context of an Alvey exemplar to detect cars in outdoor scenes. A Similarity-Based Learning scheme is employed, that uses segmented images containing cars, to produce rules which are subsequently able to label unknown images. The method is shown to be useful in developing(More)
The accuracy of a depth map acquired using triangulation or stereo techniques is limited by the resolution of the sensor, and by the accuracy with which distortions of the image can be calibrated. This paper lists the sources of error in an imaging system, and concludes that most of them can be removed by careful camera design and calibration, with the(More)
Within the context of multi-sensor, multi-target tracking, this paper addresses the problems of dealing with objects in the world that, for various reasons, were being observed but are no longer. A modification to the usual Mahalanobis distance metric used for matching observations to Extended Kalman Filters is proposed, and also two strategies for(More)
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