TY - GEN
T1 - Research on key technologies of UAV real-time recognition and tracking based on YOLOv4
AU - Liang, Hongming
AU - Hong, Tao
AU - Chen, Zhihua
AU - Kadoch, Michel
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - With the development of the Internet of Things (IoT) technology and the fifth generation of mobile communication technology (5G), unmanned aerial vehicle (UAV) has been widely used in urban life, such as UAV photography and monitoring, and UAV delivery. However, UAV targets are generally small in size, and characteristics between multiple UAVs are not obvious. Interference from other flying objects and complex electromagnetic environment bring great challenges to accurate detection and stable tracking of UAV targets. Therefore, according to the characteristics of urban environment, it is very necessary to establish a high-efficiency UAV target real-time detection and tracking system. In our study, a UAV detection and tracking method with YOLOv4 as the target detector and Deep-SORT as the target tracker is proposed, which can realize the high-efficiency and high-precision identification and tracking of multiple UAV targets.
AB - With the development of the Internet of Things (IoT) technology and the fifth generation of mobile communication technology (5G), unmanned aerial vehicle (UAV) has been widely used in urban life, such as UAV photography and monitoring, and UAV delivery. However, UAV targets are generally small in size, and characteristics between multiple UAVs are not obvious. Interference from other flying objects and complex electromagnetic environment bring great challenges to accurate detection and stable tracking of UAV targets. Therefore, according to the characteristics of urban environment, it is very necessary to establish a high-efficiency UAV target real-time detection and tracking system. In our study, a UAV detection and tracking method with YOLOv4 as the target detector and Deep-SORT as the target tracker is proposed, which can realize the high-efficiency and high-precision identification and tracking of multiple UAV targets.
KW - DeepSORT
KW - UAV
KW - YOLOv4
KW - multi-target detection
KW - multi-target tracking
UR - https://www.scopus.com/pages/publications/85151556810
U2 - 10.1109/ICIPNP57450.2022.00030
DO - 10.1109/ICIPNP57450.2022.00030
M3 - 会议稿件
AN - SCOPUS:85151556810
T3 - Proceedings - 2022 International Conference on Information Processing and Network Provisioning, ICIPNP 2022
SP - 107
EP - 110
BT - Proceedings - 2022 International Conference on Information Processing and Network Provisioning, ICIPNP 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 International Conference on Information Processing and Network Provisioning, ICIPNP 2022
Y2 - 20 October 2022 through 21 October 2022
ER -