无人机视频运动目标实时检测及跟踪

董晶, 傅丹, 杨夏

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.
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.
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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.
Citation: 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.
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无人机视频运动目标实时检测及跟踪

  • 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

详细信息
    通讯作者:

    董晶（1984-），男，湖南郴州人，博士生，主要从事计算机视觉及图像处理研究工作。 Email：luckyapple1756@gmail.com

  • 中图分类号: TN206; TP391.9

Real-time moving object detection and tracking by using UAV videos

  • 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 theFirst Academy of China Aerospace Science and Technology Corporation,Beijing 100076,China

摘要

    摘要
  • 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。
    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.
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  • 刊出日期:  2013-03-14

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