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Cooperative localization and tracking with a camera-based WSN

机译:基于摄像机的WSN的协作定位和跟踪

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This paper presents a vision-based system for cooperative object detection, localization and tracking using wireless sensor networks (WSNs). The proposed system exploits the distributed sensing capabilities, communication infrastructure and parallel computing capabilities of the WSN. To reduce the bandwidth requirements, the images captured are processed at each camera node with the objective of extracting the location of the object on each image plane, which is transmitted to the WSN. The measures from all the camera nodes are processed by means of sensor fusion techniques such as Maximum Likelihood (ML) and Extended Kalman Filter (EKF). The paper describes hardware and software aspects and presents some experimental results.
机译:本文提出了一种基于视觉的系统,用于使用无线传感器网络(WSN)进行协作对象检测,定位和跟踪。提出的系统利用了WSN的分布式感测功能,通信基础结构和并行计算功能。为了减少带宽需求,在每个摄像机节点处处理捕获的图像,目的是提取对象在每个图像平面上的位置,然后将其位置发送到WSN。来自所有相机节点的测量值均通过传感器融合技术进行处理,例如最大似然(ML)和扩展卡尔曼滤波器(EKF)。本文介绍了硬件和软件方面,并提出了一些实验结果。

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