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Instantaneous video stabilization for unmanned aerial vehicles

机译:无人机的即时视频稳定

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摘要

Video stabilization is a critical step for improving the quality of videos captured by unmanned aerial vehicles. However, the complicated scenarios in the video and the need for instantaneously presenting a stabilized image posed significant challenges to the existing methods. In this work, an instantaneous video stabilization method for unmanned aerial vehicles is proposed. This new approach serves several purposes: smoothing the video motion in both two-dimensional and three-dimensional (3-D) scenes, decreasing the lags in response, and instantaneously providing the stabilized image to users. For each input frame, our approach regenerates four short motion trajectories by applying interframe transformations to the four corners of the image rectangle. An adaptive filter is then performed to smooth motion trajectories and suppress the lags in response simultaneously. Finally, at the stage of image composition, the quality of image is considered for selecting a visually plausible stabilized video. Experiments show that our approach can stabilize various videos without the need for user interaction or costly 3-D reconstruction, and it works as an instant-process for videos from an online source.
机译:视频稳定是提高无人驾驶飞机捕获的视频质量的关键步骤。然而,视频中复杂的场景以及即时呈现稳定图像的需求对现有方法提出了重大挑战。在这项工作中,提出了一种用于无人机的瞬时视频稳定方法。这种新方法可用于多个目的:在二维和三维(3-D)场景中平滑视频运动,减少响应滞后,并立即为用户提供稳定的图像。对于每个输入帧,我们的方法通过将帧间变换应用于图像矩形的四个角来重新生成四个短运动轨迹。然后执行自适应滤波器以平滑运动轨迹并同时响应以抑制滞后。最后,在图像合成阶段,考虑图像质量以选择视觉上合理的稳定视频。实验表明,我们的方法可以稳定各种视频,而无需用户交互或进行昂贵的3D重建,它可以作为在线资源中视频的即时过程。

著录项

  • 来源
    《Journal of electronic imaging》 |2014年第1期|94-103|共10页
  • 作者单位

    National University of Defense Technology, College of Aerospace Science and Engineering, Aerial Image Processing and Vision Navigation Laboratory, Changsha 410073, China;

    National University of Defense Technology, College of Aerospace Science and Engineering, Aerial Image Processing and Vision Navigation Laboratory, Changsha 410073, China;

    National University of Defense Technology, College of Aerospace Science and Engineering, Aerial Image Processing and Vision Navigation Laboratory, Changsha 410073, China;

    National University of Defense Technology, College of Aerospace Science and Engineering, Aerial Image Processing and Vision Navigation Laboratory, Changsha 410073, China;

    National University of Defense Technology, College of Aerospace Science and Engineering, Aerial Image Processing and Vision Navigation Laboratory, Changsha 410073, China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    unmanned aerial vehicles; video stabilization; motion analysis; Kalman filter; lags-aware;

    机译:无人机视频稳定;运动分析;卡尔曼滤波器滞后意识;
  • 入库时间 2022-08-18 01:17:27

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