UAV Aerial Photography Target Detection and Tracking Based on Deep Learning

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UAV Aerial Photography Target Detection and Tracking Based on Deep Learning

UAV Aerial Photography Target Detection and Tracking Based on Deep Learning

Li, Xiaohua / Wang, Feiyang / Xu, Aiming / Zhang, Guofeng

With the development of aviation technology, UAV technology has gradually become a research hotspot in the aviation field, and it plays a vital role in civil and military construction. Target detection and tracking of aerial video is a key technology for UAV reconnaissance, disaster relief, enemy monitoring, and military strikes. This paper studies the YOLOv3 target detection algorithm and SiamMask target tracking algorithm based on deep learning, and compares these algorithms Based on the situation of long aerial photography distance and small target, the algorithm is improved and fused to realize rapid target identification and tracking under UAV aerial photography. At the same time, in order to simplify the model and accelerate the speed of model training and reasoning, the simplification of the tracking algorithm model is studied. Finally, an aerial photography experiment was conducted in an outdoor environment to verify the effectiveness of the UAV target detection and tracking algorithm.

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Title :

UAV Aerial Photography Target Detection and Tracking Based on Deep Learning

Additional title:

Lect. Notes Electrical Eng.

Contributors:

Li, Xiaohua (author) / Wang, Feiyang (author) / Xu, Aiming (author) / Zhang, Guofeng (author)

Published in:

Proceedings of the 5th China Aeronautical Science and Technology Conference ; Chapter : 42 ; 426-438

Lecture Notes in Electrical Engineering ; 821

Publication date :

2021-11-02

Size :

13 pages

ISBN :

978-981-16-7423-5 , 978-981-16-7422-8

ISSN :

1876-1119 , 1876-1100

DOI :

https://doi.org/10.1007/978-981-16-7423-5_42

Type of media :

Article/Chapter (Book)

Type of material :

Electronic Resource

Language :

English

Keywords :

UAV aerial photography , Object detection , Object tracking , YOLOv3 , SiamMask Engineering , Aerospace Technology and Astronautics , Control, Robotics, Mechatronics

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