Tracking with particle filter for high-dimensional observation and state spaces /

This title concerns the use of a particle filter framework to track objects defined in high-dimensional state-spaces using high-dimensional observation spaces. Current tracking applications require us to consider complex models for objects (articulated objects, multiple objects, multiple fragments,...

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Bibliographic Details

Main Author:	Dubuisson, Séverine (Author)
Format:	eBook
Language:	English
Published:	London : Hoboken, NJ : ISTE, Ltd. ; John Wiley & Sons, 2015.
Series:	Digital signal and image processing series.
Subjects:	Computer vision > Mathematical models. Pattern recognition systems. Particle methods (Numerical analysis) Pattern Recognition, Automated
Online Access:	Connect to the full text of this electronic book