Using Deep Learning and Low-Cost RGB and Thermal Cameras to Detect Pedestrians in Aerial Images Captured by Multirotor UAV

Using Deep Learning and Low-Cost RGB and Thermal Cameras to Detect Pedestrians in Aerial Images Captured by Multirotor UAV

The use of Unmanned Aerial Vehicles (UAV) has been increasing over the last few years in many sorts of applications due mainly to the decreasing cost of this technology. One can see the use of the UAV in several civilian applications such as surveillance and search and rescue. Automatic detection of...

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Bibliographic Details
Main Authors: Diulhio Candido de Oliveira, Marco Aurelio Wehrmeister
Format: Article
Language:English
Published: MDPI AG 2018-07-01
Series:Sensors
Subjects:
pedestrian detection
aerial images
Unmanned Aerial Vehicle (UAV)
thermal camera
deep learning
convolutional neural network
pattern recognition system
performance assessment
Online Access:http://www.mdpi.com/1424-8220/18/7/2244

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http://www.mdpi.com/1424-8220/18/7/2244

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