TY - BOOK AU - Becker, Stefan PY - 2020 TI - Dynamic Switching State Systems for Visual Tracking AB - This work addresses the problem of how to capture the dynamics of maneuvering objects for visual tracking. Towards this end, the perspective of recursive Bayesian filters and the perspective of deep learning approaches for state estimation are considered and their functional viewpoints are brought together.Umfang: XI, 198 S.Preis: 44.00 € PB - KIT Scientific Publishing CY - Karlsruhe KW - Trajektorienprädiktion KW - Zustandsschätzung KW - trajectory prediction KW - visual tracking KW - state estimation KW - videobasierte Objektverfolgung SN - 978-3-7315-1038-3 DO - 10.5445/KSP/1000122541 SE - 228