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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
- Jazyk
- Rok vydania
- 2020
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- Titul
- Dynamic Switching State Systems for Visual Tracking
- Jazyk
- anglicky
- Autori
- Stefan Becker
- Vydavateľ
- Karlsruher Institut für Technologie
- Rok vydania
- 2020
- Väzba
- mäkká
- Počet strán
- 228
- ISBN13
- 9783731510383
- Kategórie
- Počítače, IT, programovanie
- Anotácia
- 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.