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...

Fuld beskrivelse

Bibliografiske detaljer

Hovedforfatter:	Becker, Stefan
Format:	Online
Sprog:	engelsk
Udgivet:	KIT Scientific Publishing 2021
Fag:	videobasierte Objektverfolgung state estimation visual tracking trajectory prediction Trajektorienpradiktion Zustandsschatzung thema EDItEUR::U Computing and Information Technology::UY Computer science
Online adgang:	ONIX_20210217_9783731510383_3
Tags:	Tilføj Tag Ingen Tags, Vær først til at tagge denne postø!