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Focusing on the dynamics of maneuvering objects for visual tracking, this work explores the integration of recursive Bayesian filters with deep learning techniques for state estimation. It presents a comprehensive approach that combines these methodologies to enhance the understanding and effectiveness of visual tracking systems.
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Dynamic Switching State Systems for Visual Tracking, Stefan Becker
- Language
- Released
- 2020
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- (Paperback)
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- Title
- Dynamic Switching State Systems for Visual Tracking
- Language
- English
- Authors
- Stefan Becker
- Publisher
- Karlsruher Institut für Technologie
- Released
- 2020
- Format
- Paperback
- Pages
- 228
- ISBN13
- 9783731510383
- Category
- Computers, IT, Programming
- Description
- Focusing on the dynamics of maneuvering objects for visual tracking, this work explores the integration of recursive Bayesian filters with deep learning techniques for state estimation. It presents a comprehensive approach that combines these methodologies to enhance the understanding and effectiveness of visual tracking systems.