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基于迁移学习的机场场面目标检测与跟踪技术研究 被引量：4

Transfer Learning Based Research on Object Detection and Tracking for Airport Surface Surveillance
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摘要 本文分析了深度学习技术的基本原理,讨论了其应用与目标检测与跟踪领域的基本方式。利用实地采集的广汉机场场面视频数据,采用深度迁移学习的策略,研究了面向机场场面目标的检测与跟踪技术。 A series of research findings have been achieved in the field of object detection and tracking using deep learning method in recent years.This paper provides a brief analysis about the basic principles of deep learning.Some strategies of applying the deep learning technology to object detection and tracking are discussed.Based on some collected video data from guanghan airport,the object detection and tracking method for airport surface using transfer learning strategy is investigated.
作者 李彦冬 夏正洪 Li Yandong;Xia Zhenghong(Civil Aviation Flight University of China,Guanghan Sichuan,618300)
机构地区 中国民用航空飞行学院
出处 《电子测试》 2021年第2期51-52,66,共3页 Electronic Test
基金 四川省重点研发计划(2019YFG0308) 中国民航飞行学院面上项目(J2020-080,J2020-078)。
关键词 深度学习 迁移学习 机场场面监视 目标检测 目标跟踪 Deep learning Transfer learning Airport surface surveillance Object detection Object tracing
分类号 V35 [航空宇航科学与技术—人机与环境工程] V328.3 [航空宇航科学与技术—人机与环境工程] TP391.41 [自动化与计算机技术—计算机应用技术] TP181 [自动化与计算机技术—控制理论与控制工程]
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