@inproceedings{ec89d5e981d04d3f8cde01df4067299b,
title = "Real-time Implementation of YOLO+JPDA for Small Scale UAV Multiple Object Tracking",
abstract = "This paper describes the development of a real-time multiple object detection and tracking system for a small scale UAV. The YOLO deep learning visual object detection algorithm and JPDA multiple target detection algorithm, were selected and implemented. The theory and implementation details of these algorithms are presented. The performance analysis of the system is done on both public dataset and aerial videos taken by UAV.",
author = "Shuoyuan Xu and Al Savvaris and Shaoming He and Shin, {Hyo Sang} and Antonios Tsourdos",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 International Conference on Unmanned Aircraft Systems, ICUAS 2018 ; Conference date: 12-06-2018 Through 15-06-2018",
year = "2018",
month = aug,
day = "31",
doi = "10.1109/ICUAS.2018.8453398",
language = "English",
isbn = "9781538613535",
series = "2018 International Conference on Unmanned Aircraft Systems, ICUAS 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1336--1341",
booktitle = "2018 International Conference on Unmanned Aircraft Systems, ICUAS 2018",
address = "United States",
}