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Probabilistic Models and Inference for Multi-View People Detection in Overlapping Depth Images

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In this work, the task of wide-area indoor people detection in a network of depth sensors is examined. In particular, we investigate how the redundant and complementary multi-view information, including the temporal context, can be jointly leveraged to improve the detection performance. We recast th...

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Detaylı Bibliyografya
Yazar: Wetzel, Johannes (auth)
Materyal Türü: Elektronik Kitap Bölümü
Dil:İngilizce
Baskı/Yayın Bilgisi: Karlsruhe KIT Scientific Publishing 2022
Seri Bilgileri:Forschungsberichte aus der Industriellen Informationstechnik
Konular:
Electrical engineering
probabilistische Personendetektion
Netzwerk von 3D-Sensoren
Tiefenbilder
inverses Problem
joint multi-view person detection
depth sensor indoor surveillance
mean-field variational inference
vertical top-view indoor pedestrian detection
Online Erişim:DOAB: download the publication
DOAB: description of the publication
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DOAB: download the publication
DOAB: description of the publication

3rd Floor Main Library

Detaylı Erişim Bilgileri 3rd Floor Main Library
Yer Numarası: A1234.567
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