This book covers state estimation of stochastic dynamic systems from noisy measurements, specifically sequential Bayesian estimation and nonlinear or stochastic filtering. Describes applications in multi-target systems, video tracking of pedestrians and more.
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This book covers state estimation of stochastic dynamic systems from noisy measurements, specifically sequential Bayesian estimation and nonlinear or stochastic filtering. Describes applications in multi-target systems, video tracking of pedestrians and more.
Read Less
Add this copy of Particle Filters for Random Set Models to cart. $181.18, good condition, Sold by Bonita rated 4.0 out of 5 stars, ships from Santa Clarita, CA, UNITED STATES, published 2013 by Springer.
