Car Detection using Unmanned Aerial Vehicles: Comparison between Faster R-CNN and YOLOv3

Unmanned Aerial Vehicles are increasingly being used in surveillance and traffic monitoring thanks to their high mobility and ability to cover areas at different altitudes and locations. One of the major challenges is to use aerial images to accurately detect cars and count-them in real-time for tra...

Full description

Bibliographic Details
Main Author: Benjdira, Bilel (author)
Other Authors: Khursheed, Taha (author), Koubaa, Anis (author), Ammar, Adel (author), Ouni, Kais (author)
Format: conferenceObject
Language:eng
Published: 2019
Subjects:
Car detection
Convolutional neural networks
You Only Look Once
Faster R-CNN
Unmanned aerial vehicles
Object detection and recognition
Online Access:http://hdl.handle.net/10400.22/15287
Country:Portugal
Oai:oai:recipp.ipp.pt:10400.22/15287

Internet

http://hdl.handle.net/10400.22/15287

Similar Items