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

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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Bibliographic Details
Main Author: Wetzel, Johannes (auth)
Format: Electronic Book Chapter
Language:English
Published: Karlsruhe KIT Scientific Publishing 2022
Series:Forschungsberichte aus der Industriellen Informationstechnik 25
Subjects:
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 Access:OAPEN Library: download the publication
OAPEN Library: description of the publication
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