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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| Format: | eBook |
| Language: | English |
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London : Hoboken, NJ :
ISTE, Ltd. ; John Wiley & Sons,
2015.
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| Series: | Digital signal and image processing series.
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| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
| Summary: | 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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| Physical Description: | 1 online resource |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9781119004868 1119004861 9781119053910 1119053919 9781322593081 1322593086 |