• Part of
    Ubiquity Network logo
    Interesse beim KIT-Verlag zu publizieren? Informationen für Autorinnen und Autoren

    Online lesen
  • No readable formats available
  • Dynamic Switching State Systems for Visual Tracking

    Stefan Becker

    Band 46 von Karlsruher Schriften zur Anthropomatik
     Download

    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 €

    Wikipedia Concepts

    These are words or phrases in the text that have been automatically identified by the Named Entity Recognition and Disambiguation service, which provides Wikipedia () and Wikidata () links for these entities.

    Empfohlene Zitierweise
    Becker, S. 2020. Dynamic Switching State Systems for Visual Tracking. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.5445/KSP/1000122541
    Becker, S., 2020. Dynamic Switching State Systems for Visual Tracking. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.5445/KSP/1000122541
    Becker, S. Dynamic Switching State Systems for Visual Tracking. KIT Scientific Publishing, 2020. DOI: https://doi.org/10.5445/KSP/1000122541
    Becker, S. (2020). Dynamic Switching State Systems for Visual Tracking. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.5445/KSP/1000122541
    Becker, Stefan. 2020. Dynamic Switching State Systems for Visual Tracking. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.5445/KSP/1000122541




    Export to:




    Lizenz

    Dieses Buch ist lizenziert unter Creative Commons Attribution + ShareAlike 4.0

    Peer Review Informationen

    Dieses Buch ist Peer reviewed. Informationen dazu finden Sie hier

    Weitere Informationen

    Veröffentlicht am 8. November 2020

    Sprache

    Englisch

    Seitenanzahl:

    228

    ISBN
    Paperback 978-3-7315-1038-3

    DOI
    https://doi.org/10.5445/KSP/1000122541