CONDENSATION—Conditional Density Propagation for Visual Tracking

Abstract

The problem of tracking curves in dense visual clutter is challenging. Kalman filtering is inadequate because it is based on Gaussian densities which, being unimo dal, cannot represent simultaneous alternative hypotheses. The Condensation algorithm uses “factored sampling”, previously applied to the interpretation of static images, in which the probability… (More)
DOI: 10.1023/A:1008078328650

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@article{Isard1998CONDENSATIONConditionalDP, title={CONDENSATION—Conditional Density Propagation for Visual Tracking}, author={Michael Isard and Andrew Blake}, journal={International Journal of Computer Vision}, year={1998}, volume={29}, pages={5-28} }