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Dynamic Switching State Systems for Visual Tracking

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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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Detaylı Bibliyografya
Yazar:	Becker, Stefan (auth)
Materyal Türü:	Elektronik Kitap Bölümü
Dil:	İngilizce
Baskı/Yayın Bilgisi:	Karlsruhe KIT Scientific Publishing 2020
Seri Bilgileri:	Karlsruher Schriften zur Anthropomatik
Konular:	Computer science videobasierte Objektverfolgung state estimation visual tracking trajectory prediction Trajektorienpradiktion Zustandsschatzung
Online Erişim:	DOAB: download the publication DOAB: description of the publication
Etiketler:	Etiketle Etiket eklenmemiş, İlk siz ekleyin!

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