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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Bibliographic Details

Main Author:	Becker, Stefan
Format:	Online
Language:	English
Published:	KIT Scientific Publishing 2021
Subjects:	videobasierte Objektverfolgung state estimation visual tracking trajectory prediction Trajektorienpradiktion Zustandsschatzung thema EDItEUR::U Computing and Information Technology::UY Computer science
Online Access:	ONIX_20210217_9783731510383_3
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