Recognition of Human Activities Using Depth Maps and the Viewpoint Feature Histogram Descriptor

In this paper we propose a way of using depth maps transformed into 3D point clouds to classify human activities. The activities are described as time sequences of feature vectors based on the Viewpoint Feature Histogram descriptor (VFH) computed using the Point Cloud Library. Recognition is perform...

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Bibliographic Details
Main Authors: Kamil Sidor, Marian Wysocki
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/20/10/2940