Fusion of Heterogenous Sensor Data in Border Surveillance

Fusion of Heterogenous Sensor Data in Border Surveillance

Wide area surveillance has become of critical importance, particularly for border control between countries where vast forested land border areas are to be monitored. In this paper, we address the problem of the automatic detection of activity in forbidden areas, namely forested land border areas. I...

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Bibliographic Details
Main Authors: Luis Patino, Michael Hubner, Rachel King, Martin Litzenberger, Laure Roupioz, Kacper Michon, Łukasz Szklarski, Julian Pegoraro, Nikolai Stoianov, James Ferryman
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Sensors
Subjects:
multi sensor fusion
border surveillance
object detection
object tracking
thermal camera
movement sensors
Online Access:https://www.mdpi.com/1424-8220/22/19/7351

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