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...
Kaydedildi:
| Yazar: | |
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| Materyal Türü: | Elektronik Kitap Bölümü |
| Dil: | İngilizce |
| Baskı/Yayın Bilgisi: |
Karlsruhe
KIT Scientific Publishing
2020
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| Seri Bilgileri: | Karlsruher Schriften zur Anthropomatik
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| Konular: | |
| Online Erişim: | DOAB: download the publication DOAB: description of the publication |
| Etiketler: |
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Internet
DOAB: download the publicationDOAB: description of the publication
3rd Floor Main Library
| Yer Numarası: |
A1234.567 |
|---|---|
| Kopya Bilgisi 1 | Kütüphanede |