Description

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, etc.) as well as multiple kinds of information (multiple cameras, multiple modalities, etc.). This book presents some recent research that considers the main bottleneck of particle filtering frameworks (high dimensional state spaces) for tracking in such difficult conditions.

Tracking with Particle Filter for High-dimensional Observation and State Spaces

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Hardback by Séverine Dubuisson

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This title concerns the use of a particle filter framework to track objects defined in high-dimensional state-spaces using high-dimensional observation... Read more

    Publisher: ISTE Ltd and John Wiley & Sons Inc
    Publication Date: 30/12/2014
    ISBN13: 9781848216037, 978-1848216037
    ISBN10: 1848216033

    Number of Pages: 222

    Non Fiction , Technology, Engineering & Agriculture , Education

    Description

    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, etc.) as well as multiple kinds of information (multiple cameras, multiple modalities, etc.). This book presents some recent research that considers the main bottleneck of particle filtering frameworks (high dimensional state spaces) for tracking in such difficult conditions.

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