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Cost-effective solution to synchronized audio-visual capture using multiple sensors

机译:使用多个传感器同步视听捕获的经济高效的解决方案

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摘要

Applications such as surveillance and human motion capture require high-bandwidth recording from multiple cameras. Furthermore, the recent increase in research on sensor fusion has raised the demand on synchronization accuracy between video, audio and other sensor modalities. Previously, capturing synchronized, high resolution video from multiple cameras required complex, inflexible and expensive solutions. Our experiments show that a single PC, built from contemporary low-cost computer hardware, could currently handle up to 470MB/s of input data. This allows capturing from 18 cameras of 780x580pixels at 60fps each, or 36 cameras at 30fps. Furthermore, we achieve accurate synchronization between audio, video and additional sensors, by recording audio together with sensor trigger- or timestamp signals, using a multi-channel audio input. In this way, each sensor modality can be captured with separate software and hardware, allowing maximal flexibility with minimal cost.
机译:监视和人体动作捕捉等应用程序需要来自多个摄像机的高带宽记录。此外,关于传感器融合的最新研究增加了对视频,音频和其他传感器模态之间的同步精度的需求。以前,从多台摄像机捕获同步的高分辨率视频需要复杂,不灵活且昂贵的解决方案。我们的实验表明,使用当代低成本计算机硬件构建的一台PC当前可以处理高达470MB / s的输入数据。这样可以从18个780x580像素的摄像机(每个60fps)或36个30fps的摄像机捕获。此外,通过使用多通道音频输入将音频与传感器触发或时间戳信号一起记录,我们实现了音频,视频和其他传感器之间的精确同步。这样,可以用单独的软件和硬件捕获每个传感器模式,从而以最小的成本实现最大的灵活性。

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