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Video-object segmentation and 3D-trajectory estimation for monocular video sequences

机译：单眼视频序列的视频对象分割和3D轨迹估计

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摘要

In this paper, we describe a video-object segmentation and 3D-trajectory estimation method for the analysis of dynamic scenes from a monocular uncalibrated view. Based on the color and motion information among video frames, our proposed method segments the scene, calibrates the camera, and calculates the 3D trajectories of moving objects. It can be employed for video-object segmentation, 2D-to-3D video conversion, video-object retrieval, etc. In our method, reliable 2D feature motions are established by comparing SIFT descriptors among successive frames, and image over-segmentation is achieved using a graph-based method. Then, the 2D motions and the segmentation result iteratively refine each other in a hierarchically structured framework to achieve video-object segmentation. Finally, the 3D trajectories of the segmented moving objects are estimated based on a local constant-velocity constraint, and are refined by a Hidden Markov Model (HMM)-based algorithm. Experiments show that the proposed framework can achieve a good performance in terms of both object segmentation and 3D-trajectory estimation.
机译：在本文中，我们描述了一种用于从单眼未校准视图分析动态场景的视频对象分割和3D轨迹估计方法。基于视频帧之间的颜色和运动信息，我们提出的方法对场景进行了分割，校准了摄像机并计算了运动对象的3D轨迹。它可用于视频对象分割，2D到3D视频转换，视频对象检索等。在我们的方法中，通过比较连续帧之间的SIFT描述符来建立可靠的2D特征运动，并实现了图像的过度分割使用基于图的方法。然后，二维运动和分割结果在分层结构的框架中彼此迭代地完善，以实现视频对象分割。最后，基于局部恒速约束条件对分割后的运动对象的3D轨迹进行估算，并通过基于隐马尔可夫模型（HMM）的算法对其进行精炼。实验表明，该框架在对象分割和3D轨迹估计方面均能取得良好的性能。

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  • 来源
    《Image and Vision Computing》 |2011年第3期|p.190-205|共16页
  • 作者

    Feng Xu; Kin-Man Lam; Qionghai Dai;

  • 作者单位

    Centre for Signal Processing, Department of Electronic and Information Engineering, Hong Kong Polytechnic University, Kowloon, Hong Kong,TNList and Department of Automation, Tsinghua, University, Beijing 100086, China0;

    Centre for Signal Processing, Department of Electronic and Information Engineering, Hong Kong Polytechnic University, Kowloon, Hong Kong;

    TNList and Department of Automation, Tsinghua, University, Beijing 100086, 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

    2d-to-3d video conversion; 3d trajectory estimation; video-object segmentation;

    机译：2d到3d视频转换;3d轨迹估计;视频对象分割;

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