视觉传感器网络中的信息流管理

K. Obraczka, R. Manduchi, J. J. Garcia-Luna-Aveces
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引用次数: 78

摘要

传感器网络是由大量相互连接的传感设备组成的,近年来已成为广泛研究的主题。传感器网络的典型应用包括监控可能非常大的、偏远的和/或无法进入的区域、监视和智能环境,如会议室、建筑物、家庭和高速公路。我们的重点是视觉传感器网络,这是配备了足够处理能力来支持本地图像分析的摄像机网络。本文描述了UCSC在视觉传感器网络方面正在进行的研究,并强调了需要解决的研究挑战。它激发了对视觉技术和通信协议之间紧密耦合的需求,以更有效地监测/跟踪能力(通过使传感器以协调的方式运行),以及延长传感器网络运行寿命的节能和带宽高效协议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Managing the information flow in visual sensor networks
Sensor networks, or sensor webs, which consist of a large number of interconnected sensing devices, have recently been the subject of extensive research. Typical applications of sensor networks include monitoring of possibly very large, remote and/or inaccessible areas, surveillance, and smart environments, like meeting rooms, buildings, homes, and highways. Our focus is on visual sensor networks, which are networks of cameras equipped with enough processing power to support local image analysis. The paper describes ongoing research at UCSC in visual sensor networks and highlights the research challenges to be addressed. It motivates the need for tight coupling between vision techniques and communication protocols for more effective monitoring/tracking capabilities (by having sensors operate in a coordinated manner), as well as energy- and bandwidth-efficient protocols which prolong the operational life of the sensor network.
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