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无人机视频运动目标实时检测及跟踪
引用本文:董晶,傅丹,杨夏.无人机视频运动目标实时检测及跟踪[J].应用光学,2013,34(2):255-259.
作者姓名:董晶  傅丹  杨夏
作者单位:1.国防科学与技术大学 航天与材料学院,湖南 长沙 410073; 2.中国人民解放军 第二炮兵驻航天科技集团第一研究院型号办公室,北京 100076
基金项目:国家自然科学基金(11072263)
摘    要: 对无人机拍摄视频中的地面运动目标提出一种实时检测跟踪算法。该算法利用特征点的对应关系将图像对配准,再对配准图像进行变化检测,根据变化和运动信息检测目标并消除虚警,将检测与跟踪相结合,对目标跟踪失效的情况,能重新正确定位目标,从而获取目标的完整运动轨迹。采用无人机拍摄的地面车辆图像的测试结果表明,算法能有效检测跟踪运动目标,并能达到25 f/s以上的实时处理速度。

关 键 词:计算机视觉  图像配准  无人机  变化检测  目标检测  目标跟踪
收稿时间:2012/10/11

Real-time moving object detection and tracking by using UAV videos
DONG Jing,FU Dan,YANG Xia.Real-time moving object detection and tracking by using UAV videos[J].Journal of Applied Optics,2013,34(2):255-259.
Authors:DONG Jing  FU Dan  YANG Xia
Institution:1. College of Aerospace and Materials Engineering, National University of Defense Technology, Changsha 410073, China;2.The Second Artillery Force of the Chinese People Liberation Army Model Office at the First Academy of China Aerospace Science and Technology Corporation, Beijing 100076, China
Abstract:A real-time algorithm for detecting and tracking ground moving target by using unmanned aerial vehicle(UAV) video was proposed. Two images were matched based on the correspondence of feature points, and the change detection was proceeded on the basis of the matched images.Then according to the changing and moving information, target was detected and part of false alarm was eliminated. If tracking failed,the target could be correctly relocated to obtain full trace of moving target finally by combining detecting with tracking. The test result of groud vehicle image by UAV implies that the moving target can be detected and tracked at a real-time processing speed of more than 25 f/s by using our algorithm.
Keywords:computer vision  image matching  unmanned aerial vehicle  variation detection  target detection  target tracking
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