Aerial Target Tracking Algorithm Based on Faster R-CNN Combined with Frame Differencing

Aerial Target Tracking Algorithm Based on Faster R-CNN Combined with Frame Differencing

We propose a robust approach to detecting and tracking moving objects for a naval unmanned aircraft system (UAS) landing on an aircraft carrier. The frame difference algorithm follows a simple principle to achieve real-time tracking, whereas Faster Region-Convolutional Neural Network (R-CNN) perform...

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Bibliographic Details
Main Authors: Yurong Yang, Huajun Gong, Xinhua Wang, Peng Sun
Format: Article
Language:English
Published: MDPI AG 2017-06-01
Series:Aerospace
Subjects:
deep learning
Faster R-CNN
UAS landing
object detection
Online Access:http://www.mdpi.com/2226-4310/4/2/32

Internet

http://www.mdpi.com/2226-4310/4/2/32

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