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无人机目标追踪系统设计与实现 被引量:3

Design and Implementation of UAV Target Tracking System
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摘要 随着无人机技术的逐渐成熟,无人机也越来越贴合人们的生活。四轴无人飞行器因为小巧灵活深受人们的喜爱,但现实生活中无人机的操控往往需要花费大量的学习时间成本,同时四轴无人机在动态场景中检测和跟踪非常困难。基于此,设计一套基于DeepSORT目标跟踪算法和YOLO-V3目标检测算法的无人机目标追踪系统,实现目标追踪、轨迹推演、手势控制功能,让人们可通过手势来操控无人机,实现目标追踪等复杂繁琐的任务。 With the gradual maturity of UAV technology,UAV is more and more suitable for people’s life.Four-axis unmanned aerial vehicle(UAV)is loved by people because of its small and flexible size.But the control of UAV in real life often requires a lot of learning time cost,and the detection and tracking of four-axis UAV in dynamic scenes is very difficult.Therefore,this paper designs a UAV target tracking system based on DeepSORT target tracking algorithm and YOLO-V3 target detection algorithm to achieve target tracking,trajectory inference,gesture control functions,so that people can use gestures to control the UAV,target tracking and other complex tasks.
作者 闫耀芳 张子林 钱堂 白佑铭 李兆麟 Yan Yaofang;Zhang Zilin;Qian Tang;Bai Youming;Li Zhaolin(College of Information Engineering,Henan University of Science and Technology,Luoyang Henan 741023,China)
出处 《山西电子技术》 2022年第5期18-20,共3页 Shanxi Electronic Technology
基金 2021年度河南科技大学大学生研究训练计划资助(2021081)。
关键词 无人机 手势控制 目标跟踪 DeepSORT算法 YOLO-V3算法 UAV gesture control targettracking DeepSORT algorithm YOLO-V3 algorithm
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