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Spatiotemporal alignment of multi-sensor aerial video sequences

机译:多传感器空中视频序列的时空对齐

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This paper presents a method for spatiotemporal alignment of two video sequences recorded by aerial sensors using different modularity. It recovers the inter-video temporal synchronization and spatial transformation from two sequences of intra-video transformations between successive frames within each video. Since it needs no directly comparison of images across two videos, and the intra-video transformation is easy to obtain, the alignment is possible even when the two videos have very different appearances. We make best use of the geometry between rigidly connected aerial video sensors and the ground scene, treat the intra-video and inter-video spatial transformations as similar ones, and develop a simple alignment method. Both theoretical analysis and experimental results demonstrate the stability and efficiency advantages over previous methods.
机译:本文介绍了使用不同模块化的空中传感器记录的两个视频序列的时空对准方法。它从每个视频内的连续帧之间的两个视频变换序列中恢复视频间时间同步和空间变换。由于它不需要直接比较两种视频,并且易于获得视频中的视频变换,即使两个视频出现非常不同,也可以进行对准。我们充分利用刚性连接的空中视频传感器和地面场景之间的几何形状,将视频内和视频间空间转换视为类似的,并开发简单的对齐方法。理论分析和实验结果都证明了以前的方法的稳定性和效率优势。

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