Particle Filters for Random Set Models

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 More

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

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  	This is a digital edition of this title. Rent eBook (5 Options) 30 Day Rental: $35.70 (Expires Jan 17, 2025) 60 Day Rental: $47.60 (Expires Feb 16, 2025) 90 Day Rental: $59.50 (Expires Mar 18, 2025) 120 Day Rental: $71.40 (Expires Apr 17, 2025) 180 Day Rental: $77.35 (Expires Jun 16, 2025) Buy eBook Lifetime Access: $119.00 Title: Particle Filters for Random Set Models by Branko Ristic Publisher: Springer Nature Print ISBN: 9781461463153, 1461463157 eText ISBN: 9781461463160 Edition: 2013 2013 edition Format: PDF eBook	$35.70 Rent eBook This is a digital eBook Nothing will be shipped to you Works with web browsers and the VitalSource app on all Windows, Mac, Chromebook, Kindle Fire, iOS, and Android devices Most eBooks are returnable within 14 days of purchase Questions? See our eBook FAQ