Dynamic Switching State Systems for Visual Tracking

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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Մատենագիտական մանրամասներ
Հիմնական հեղինակ: Becker, Stefan
Ձևաչափ: Online
Լեզու:անգլերեն
Հրապարակվել է: KIT Scientific Publishing 2021
Խորագրեր:
Առցանց հասանելիություն:ONIX_20210217_9783731510383_3
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author Becker, Stefan
author_browse Becker, Stefan
author_facet Becker, Stefan
author_sort Becker, Stefan
collection Directory of Open Access Books
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.
format Online
id doab-20.500.12854ir-63764
institution Directory of Open Access Books
language eng
publishDate 2021
publishDateRange 2021
publishDateSort 2021
publisher KIT Scientific Publishing
publisherStr KIT Scientific Publishing
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spelling doab-20.500.12854ir-637642025-05-07T11:36:40Z Dynamic Switching State Systems for Visual Tracking Becker, Stefan videobasierte Objektverfolgung state estimation visual tracking trajectory prediction Trajektorienpradiktion Zustandsschatzung thema EDItEUR::U Computing and 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. 2021-02-18T03:02:08Z 2021-02-18T03:02:08Z 2021-02-17T16:38:35Z 2020 book ONIX_20210217_9783731510383_3 OCN: 1266287173 https://library.oapen.org/handle/20.500.12657/46859 9783731510383 https://directory.doabooks.org/handle/20.500.12854/63764 eng Karlsruher Schriften zur Anthropomatik open access image/jpeg image/jpeg image/jpeg image/jpeg n/a n/a n/a n/a https://library.oapen.org/bitstream/20.500.12657/46859/1/dynamic-switching-state-systems-for-visual-tracking.pdf https://library.oapen.org/bitstream/20.500.12657/46859/1/dynamic-switching-state-systems-for-visual-tracking.pdf https://library.oapen.org/bitstream/20.500.12657/46859/1/dynamic-switching-state-systems-for-visual-tracking.pdf https://library.oapen.org/bitstream/20.500.12657/46859/1/dynamic-switching-state-systems-for-visual-tracking.pdf KIT Scientific Publishing 10.5445/KSP/1000122541 10.5445/KSP/1000122541 68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2 9783731510383 AG Universitätsverlage 228 Karlsruhe open access
spellingShingle videobasierte Objektverfolgung
state estimation
visual tracking
trajectory prediction
Trajektorienpradiktion
Zustandsschatzung
thema EDItEUR::U Computing and Information Technology::UY Computer science
Becker, Stefan
Dynamic Switching State Systems for Visual Tracking
title Dynamic Switching State Systems for Visual Tracking
title_full Dynamic Switching State Systems for Visual Tracking
title_fullStr Dynamic Switching State Systems for Visual Tracking
title_full_unstemmed Dynamic Switching State Systems for Visual Tracking
title_short Dynamic Switching State Systems for Visual Tracking
title_sort dynamic switching state systems for visual tracking
topic videobasierte Objektverfolgung
state estimation
visual tracking
trajectory prediction
Trajektorienpradiktion
Zustandsschatzung
thema EDItEUR::U Computing and Information Technology::UY Computer science
topic_facet videobasierte Objektverfolgung
state estimation
visual tracking
trajectory prediction
Trajektorienpradiktion
Zustandsschatzung
thema EDItEUR::U Computing and Information Technology::UY Computer science
url ONIX_20210217_9783731510383_3
work_keys_str_mv AT beckerstefan dynamicswitchingstatesystemsforvisualtracking