Deep Learning-Based Real-Time Multiple-Object Detection and Tracking from Aerial Imagery via a Flying Robot with GPU-Based Embedded Devices

Deep Learning-Based Real-Time Multiple-Object Detection and Tracking from Aerial Imagery via a Flying Robot with GPU-Based Embedded Devices

In recent years, demand has been increasing for target detection and tracking from aerial imagery via drones using onboard powered sensors and devices. We propose a very effective method for this application based on a deep learning framework. A state-of-the-art embedded hardware system empowers sma...

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Bibliographic Details
Main Authors: Sabir Hossain, Deok-jin Lee
Format: Article
Language:English
Published: MDPI AG 2019-07-01
Series:Sensors
Subjects:
multi-target detection and tracking
multi-copter drone
aerial imagery
image sensor
deep learning
GPU-based embedded module
neural computing stick
image processing
Online Access:https://www.mdpi.com/1424-8220/19/15/3371

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https://www.mdpi.com/1424-8220/19/15/3371

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