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object tracking using particle filter
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Particle filters are often used for tracking objects within a
scene. As the prediction model of a particle filter is often
implemented using basic movement predictions such as ran-
domwalk,constantvelocityoracceleration,thesemodelswill
us
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A complete system for head tracking using Motion-Based particle filter and randomly perturbed active contour
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A computationally efficient particle filter for multitarget tracking using an independence approximation
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This paper introduces a new object tracking method
which combines two algorithms working in parallel, and based on
low-level observations (colour and gradient orientation): the Generalised Hough Transform, using a pixel-based descr iption, and
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