基于变化检测的视频对象提取及后继帧的对象跟踪

Video Objects Extraction and Tracking in the Video Sequences

  • 摘要: 提出一种多尺度帧间边界变化检测方法,将当前图像划分为变化区域和非变化区域,变化区域内采用基于Hausdorff距离跟踪器找到对象在后继帧的最佳匹配位置;然后利用Snake模型拟合该位置上的非刚性形变,得到对象真实边缘;最后采用一种基于距离变换的最短路径法使开环闭合。

     

    Abstract: A method for multi-scale change detection is proposed based on inter-frame edge difference.The result shows that the algorithm is robust and well sensitive to change.Snake model is used to extract the object contour.Because of blindness of Snake model,Hausdorff tracker is introduced prior to snake tracker.Snake model is used to track non-rigid deformation in object translation position indicated by Hausdorff tracker.The result of snake model is not always closed,a method of the shortest path based on distance transform is proposed.The segmentation algorithm avoids many of the complex problems associated with optical flow estimation and gray-based segmentation in the space.Experiments also demonstrate this algorithm can handle many traditional types of sequences.

     

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