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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
Etiketler:	Etiketle Etiket eklenmemiş, İlk siz ekleyin!

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