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Spatiotemporal Alignment of Multi-sensor Aerial Video Sequences

机译:多传感器航空视频序列的时空对准

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摘要

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:本文提出了一种使用不同的模块对空中传感器记录的两个视频序列进行时空对齐的方法。它从每个视频内连续帧之间的两个视频内转换序列恢复视频间时间同步和空间转换。由于不需要直接比较两个视频之间的图像,并且很容易获得视频内转换,因此即使两个视频的外观非常不同也可以对齐。我们充分利用刚性连接的航空视频传感器和地面场景之间的几何形状,将视频内和视频间的空间变换视为相似的变换,并开发一种简单的对齐方法。理论分析和实验结果均证明了相对于先前方法的稳定性和效率优势。

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