反无人机视觉检测与跟踪技术进展分析  

Review of anti-UAV visual detection and tracking technologies

作　　者：杨辉跃 简钰洪 涂亚庆 容易圣 刘坚 YANG Huiyue;JIAN Yuhong;TU Yaqing;RONG Yisheng;LIU Jian(Military Logistics Department,Army Logistics University,Chongqing 401331,China;Unit 32620,Xining 810000,China)

机构地区：[1]陆军勤务学院军事物流系,重庆401331 [2]32620部队,青海西宁810000

出　　处：《国防科技》2023年第3期40-51,共12页National Defense Technology

基　　金：重庆市教育委员会科研项目基金(KJQN202012903);军队科研基金(LJ20222Z060078)。

摘　　要：为应对无人机“黑飞”“滥飞”等对国防和公共安全造成的巨大威胁,反无人机技术研究成为当前迫切的现实需求。首先,对比分析雷达、无线电、声音、机器视觉4类典型的反无人机检测技术;其次,重点针对反无人机的视觉检测与跟踪技术,从目标检测、无人机识别、无人机跟踪等角度,详细分析视觉检测与跟踪关键技术的优势与不足,以及各项技术在反无人机检测跟踪中的应用情况及改进策略;最后,探讨应用中较为突出的检测精度、跟踪遮挡、实时性、数据集收集标准、多技术融合5个方面问题和发展趋势,为相关技术研究提供参考。To address the significant threats to national defense and public safety posed by unauthorized and uncontrolled Unmanned Aerial Vehicle(UAV)flights,research on counter-UAV technology has become urgent.First,this article presents the comparison and analysis of four typical counter-UAV detection technologies based on radar,radio,sound,and machine vision.Next,focusing on counter-UAV visual detection and tracking technologies rom the perspective of target detection,UAVs recognition,and UAVs tracking,the advantages and disadvantages of key visual detection and tracking technologies are discussed in this paper.The applications and improvement strategies of various technologies in counter-UAV detection and tracking are studied.Finally,five categories of prominent issues and development trends are discussed in this article,which are detection accuracy,tracking occlusion,real-time performance,data set collection standards,and multi-technology integration,to provide valuable insights for related technology research.

关 键 词：反无人机 机器视觉 运动目标检测 目标识别 目标跟踪 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]