系统仿真学报 ›› 2018, Vol. 30 ›› Issue (7): 2776-2786.doi: 10.16182/j.issn1004731x.joss.201807043

• 短文 • 上一篇    下一篇

无人机航拍视频中的车辆检测方法

王素琴1, 施文豪1,2, 李兆歆2, 毛天露2   

  1. 1.华北电力大学控制与计算机工程学院,北京 102206;
    2.中国科学院计算技术研究所,北京 100190
  • 收稿日期:2017-07-01 出版日期:2018-07-10 发布日期:2019-01-08
  • 作者简介:王素琴(1970-),女,辽宁铁岭,硕士,副教授,研究方向为软件工程、数据分析与数据挖掘。
  • 基金资助:
    国家重点研发计划(2016YFC0802500),国家自然科学基金(61532002),十三五装备预先研究共用技术项目(41402050301-170441402065),中科院STS项目(KFJ-SW-STS_155)

Vehicle Detection Method in UAV Aerial Video

Wang Suqin1, Shi Wenhao1,2, Li Zhaoxin2, Mao Tianlu2   

  1. 1. School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China;
    2. Institute of Computing Technology, Beijing 100190, China
  • Received:2017-07-01 Online:2018-07-10 Published:2019-01-08

摘要: 利用无人机航拍获取交通信息具有灵活性好、机动性高等优势,能在突发事件、应急处理等环境发挥重要作用。提出一种针对无人机航拍视频进行车辆检测的方法。针对无人机视频的偏转问题,采用基于SURF算法的图像配准方法,将无人机视频的偏转根据标准帧进行矫正。通过基于像素的自适应分割算法将背景和运动车辆分隔,检测出视频中运动的车辆目标。实验表明:本方法匹配的准确率达到90%,能在较大的场景范围内检测出运动车辆,召回率(Re),精度(Pr),假阴性率(FNR)达到82.3%,90.1%,17.3%。

关键词: 无人机, SURF算法, 图像配准, 运动车辆检测

Abstract: The use of UAV aerial photography to obtain traffic information has many advantages like a flexible high mobility, comprehensive information and so on, which plays a vital role in the emergency response, anti-terrorism/battlefield and other environments. This paper proposes a method for vehicle detection in UAV aerial video. Aiming at the problem of UAV video image deflection, the image registration method based on SURF algorithm is used to correct the deflection of UAV hatching video according to the standard frame. The background and the moving vehicle are separated by the pixel-based adaptive segmentation algorithm to detect the moving vehicle in the video. Experiments show that the matching accuracy of our method rate up to 90%, and can detect the movement of vehicles accurately in a large range of scenes, whose recall(Re), precision(Pr), false negative rate (FNR) are 82.3%, 90.1%, 17.3%.

Key words: unmanned aerial vehicle, SURF algorithm, image matching, moving vehicle detection

中图分类号: