Synchronizing Video Cameras with Non-overlapping Fields of View

Darlan N. Brito, F. Pádua, R. Carceroni, G. Pereira
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引用次数: 5

Abstract

This paper describes a method to estimate the temporal alignment between N unsynchronized video sequences captured by cameras with non-overlapping fields of view. The sequences are recorded by stationary video cameras, with fixed intrinsic and extrinsic parameters. The proposed approach reduces the problem of synchronizing N non-overlapping sequences to the robust estimation of a single line in RN+1. This line captures all temporal relations between the sequences and a moving sensor in the scene, whose locations in the world coordinate system may be estimated at a constant sampling rate. Experimental results with real-world sequences show that our method can accurately align the videos.
同步摄像机与非重叠的视野
本文描述了一种估计视场不重叠摄像机拍摄的N个不同步视频序列时间对齐的方法。这些序列由固定的摄像机记录,具有固定的内在和外在参数。该方法将N个非重叠序列的同步问题简化为对RN+1中单行的鲁棒估计。这条线捕获了序列和场景中移动传感器之间的所有时间关系,这些传感器在世界坐标系中的位置可以以恒定的采样率估计。实际序列的实验结果表明,该方法可以准确地对视频进行对齐。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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