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

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...

Descrición completa

Detalles Bibliográficos

Autor Principal:	Wetzel, Johannes
Formato:	Online
Idioma:	inglés
Publicado:	KIT Scientific Publishing 2022
Subjects:	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 thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TH Energy technology and engineering::THR Electrical engineering
Acceso en liña:	ONIX_20220718_9783731511779_115
Tags:	Engadir etiqueta Sen Etiquetas, Sexa o primeiro en etiquetar este rexistro!