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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Kaituhi matua:	Becker, Stefan
Hōputu:	Online
Reo:	Ingarihi
I whakaputaina:	KIT Scientific Publishing 2021
Ngā marau:	videobasierte Objektverfolgung state estimation visual tracking trajectory prediction Trajektorienpradiktion Zustandsschatzung thema EDItEUR::U Computing and Information Technology::UY Computer science
Urunga tuihono:	ONIX_20210217_9783731510383_3
Ngā Tūtohu:	Tāpirihia he Tūtohu Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!