Research on Real-Time Tracking Algorithm for Multi-Objects of Shipboard Aircraft Based on Detection

For safe guidance and real-time monitoring of the shipboard aircraft during the operation, for traditional detection-based object tracking algorithms has poor tracking performance and susceptibility to interference, proposed the multi-object real-time tracking algorithm of shipboard aircraft that co...

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Autor principal:	Tian Shaobing, Zhu Xingdong, Fan Jiali, Wang Zheng
Formato:	article
Lenguaje:	ZH
Publicado:	Editorial Office of Aero Weaponry 2021
Materias:	\|object detection\|kalman filtering\|hungarian algorithm\|object tracking\|deep learning Motor vehicles. Aeronautics. Astronautics TL1-4050
Acceso en línea:	https://doaj.org/article/4e393df087fc43feab688c78a101d57f
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id	oai:doaj.org-article:4e393df087fc43feab688c78a101d57f
record_format	dspace
spelling	oai:doaj.org-article:4e393df087fc43feab688c78a101d57f2021-11-30T00:13:33ZResearch on Real-Time Tracking Algorithm for Multi-Objects of Shipboard Aircraft Based on Detection1673-504810.12132/ISSN.1673-5048.2020.0160https://doaj.org/article/4e393df087fc43feab688c78a101d57f2021-08-01T00:00:00Zhttps://www.aeroweaponry.avic.com/fileup/1673-5048/PDF/1631769602758-187154746.pdfhttps://doaj.org/toc/1673-5048For safe guidance and real-time monitoring of the shipboard aircraft during the operation, for traditional detection-based object tracking algorithms has poor tracking performance and susceptibility to interference, proposed the multi-object real-time tracking algorithm of shipboard aircraft that combined YOLO v3 object detection algorithm and Kalman filtering. The anchor size of the original YOLO v3 algorithm is optimized by the K-means clustering algorithm, combined with the Kalman filter algorithm to achieve effective tracking of shipboard aircraft objects, and compared with object tracking algorithm based on optical flow and SORT multi-object tracking algorithm on self-built shipboard aircraft tracking dataset and MOT16 multi-object tracking dataset. The results show that the tracking algorithm proposed is more accurate, robust and stable, and has strong adaptability when the object frame width and height change suddenly.Tian Shaobing, Zhu Xingdong, Fan Jiali, Wang ZhengEditorial Office of Aero Weaponryarticle\|object detection\|kalman filtering\|hungarian algorithm\|object tracking\|deep learningMotor vehicles. Aeronautics. AstronauticsTL1-4050ZHHangkong bingqi, Vol 28, Iss 4, Pp 49-55 (2021)
institution	DOAJ
collection	DOAJ
language	ZH
topic	\|object detection\|kalman filtering\|hungarian algorithm\|object tracking\|deep learning Motor vehicles. Aeronautics. Astronautics TL1-4050
spellingShingle	\|object detection\|kalman filtering\|hungarian algorithm\|object tracking\|deep learning Motor vehicles. Aeronautics. Astronautics TL1-4050 Tian Shaobing, Zhu Xingdong, Fan Jiali, Wang Zheng Research on Real-Time Tracking Algorithm for Multi-Objects of Shipboard Aircraft Based on Detection
description	For safe guidance and real-time monitoring of the shipboard aircraft during the operation, for traditional detection-based object tracking algorithms has poor tracking performance and susceptibility to interference, proposed the multi-object real-time tracking algorithm of shipboard aircraft that combined YOLO v3 object detection algorithm and Kalman filtering. The anchor size of the original YOLO v3 algorithm is optimized by the K-means clustering algorithm, combined with the Kalman filter algorithm to achieve effective tracking of shipboard aircraft objects, and compared with object tracking algorithm based on optical flow and SORT multi-object tracking algorithm on self-built shipboard aircraft tracking dataset and MOT16 multi-object tracking dataset. The results show that the tracking algorithm proposed is more accurate, robust and stable, and has strong adaptability when the object frame width and height change suddenly.
format	article
author	Tian Shaobing, Zhu Xingdong, Fan Jiali, Wang Zheng
author_facet	Tian Shaobing, Zhu Xingdong, Fan Jiali, Wang Zheng
author_sort	Tian Shaobing, Zhu Xingdong, Fan Jiali, Wang Zheng
title	Research on Real-Time Tracking Algorithm for Multi-Objects of Shipboard Aircraft Based on Detection
title_short	Research on Real-Time Tracking Algorithm for Multi-Objects of Shipboard Aircraft Based on Detection
title_full	Research on Real-Time Tracking Algorithm for Multi-Objects of Shipboard Aircraft Based on Detection
title_fullStr	Research on Real-Time Tracking Algorithm for Multi-Objects of Shipboard Aircraft Based on Detection
title_full_unstemmed	Research on Real-Time Tracking Algorithm for Multi-Objects of Shipboard Aircraft Based on Detection
title_sort	research on real-time tracking algorithm for multi-objects of shipboard aircraft based on detection
publisher	Editorial Office of Aero Weaponry
publishDate	2021
url	https://doaj.org/article/4e393df087fc43feab688c78a101d57f
work_keys_str_mv	AT tianshaobingzhuxingdongfanjialiwangzheng researchonrealtimetrackingalgorithmformultiobjectsofshipboardaircraftbasedondetection
_version_	1718406862707097600

Research on Real-Time Tracking Algorithm for Multi-Objects of Shipboard Aircraft Based on Detection

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