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Approximate Initialization of Camera Sensor Networks

机译:相机传感器网络的近似初始化

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Camera sensor networks—wireless networks of low-power imaging sensors—have become popular recently for monitoring applications. In this paper, we argue that traditional vision-based techniques for calibrating cameras are not directly suitable for low-power sensors deployed in remote locations. We propose approximate techniques to determine the relative locations and orientations of camera sensors without any use of landmarks or positioning technologies. Our techniques determine the degree and range of overlap for each camera and show this information can be exploited for duty cycling and triggered wakeups. We implement our techniques on a Mote testbed and conduct a detailed experimental evaluation. Our results show that our approximate techniques can estimate the degree and region of overlaps to within 10% of their actual values and this error is tolerable at the application-level for effective duty-cycling and wakeups.
机译:摄像机传感器网络(低功耗成像传感器的无线网络)最近在监视应用中变得很流行。在本文中,我们认为传统的基于视觉的摄像机校准技术并不直接适用于部署在偏远地区的低功耗传感器。我们提出了近似技术来确定相机传感器的相对位置和方向,而无需使用路标或定位技术。我们的技术确定了每个摄像机的重叠程度和范围,并表明可以利用此信息进行占空比和触发唤醒。我们在Mote测试床上实施我们的技术,并进行详细的实验评估。我们的结果表明,我们的近似技术可以估计重叠的程度和区域,使其在实际值的10%以内,并且在应用程序级别,对于有效的占空比和唤醒,此误差是可以容忍的。

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