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Dynamic Switching State Systems for Visual Tracking

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  • 228 stránok
  • 8 hodin čítania

Viac o knihe

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.

Nákup knihy

Dynamic Switching State Systems for Visual Tracking, Stefan Becker

Jazyk
Rok vydania
2020
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