dynamic-switching-state-systems-for-visual-tracking.pdf

dynamic-switching-state-systems-for-visual-tracking.pdf

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 t...

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Γλώσσα:English
Έκδοση: KIT Scientific Publishing 2021
id oapen-20.500.12657-46859
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spelling oapen-20.500.12657-468592021-02-18T01:55:42Z Dynamic Switching State Systems for Visual Tracking Becker, Stefan videobasierte Objektverfolgung state estimation visual tracking trajectory prediction Trajektorienpradiktion Zustandsschatzung bic Book Industry Communication::U Computing & information technology::UY Computer science 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. 2021-02-17T16:38:35Z 2021-02-17T16:38:35Z 2020 book ONIX_20210217_9783731510383_3 https://library.oapen.org/handle/20.500.12657/46859 eng Karlsruher Schriften zur Anthropomatik application/pdf n/a dynamic-switching-state-systems-for-visual-tracking.pdf KIT Scientific Publishing 10.5445/KSP/1000122541 10.5445/KSP/1000122541 44e29711-8d53-496b-85cc-3d10c9469be9 50 228 Karlsruhe open access
institution OAPEN
collection DSpace
language English
description 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.
title dynamic-switching-state-systems-for-visual-tracking.pdf
spellingShingle dynamic-switching-state-systems-for-visual-tracking.pdf
title_short dynamic-switching-state-systems-for-visual-tracking.pdf
title_full dynamic-switching-state-systems-for-visual-tracking.pdf
title_fullStr dynamic-switching-state-systems-for-visual-tracking.pdf
title_full_unstemmed dynamic-switching-state-systems-for-visual-tracking.pdf
title_sort dynamic-switching-state-systems-for-visual-tracking.pdf
publisher KIT Scientific Publishing
publishDate 2021
_version_ 1771297486766342144

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