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Image Recognition Traffic Patterns for Wireless Multimedia Sensor Networks

机译:无线多媒体传感器网络的图像识别流量模式

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The objective of this work is to identify some of the traffic characteristics of Wireless Multimedia Sensor Networks (WMSN). Applications such as video surveillance sensor networks make use of new paradigms related with computer vision and image processing techniques. These sensors do not send whole video sequences to the wireless sensor network, but objects of interest detected by the camera. In order to able to design appropriate networking protocols, a better understanding of the traffic characteristics of these multimedia sensors is needed. In this work1. we analyze the traffic differences between cameras that send whole coded images and those that first process and recognize objects of interest using Object Recognition techniques.
机译:这项工作的目的是确定无线多媒体传感器网络(WMSN)的某些流量特性。视频监视传感器网络等应用程序利用了与计算机视觉和图像处理技术有关的新范例。这些传感器不会将整个视频序列发送到无线传感器网络,而是会通过相机检测到感兴趣的物体。为了能够设计适当的网络协议,需要更好地了解这些多媒体传感器的流量特性。在这项工作中1。我们分析了发送完整编码图像的摄像机与首先处理并使用对象识别技术识别感兴趣对象的摄像机之间的流量差异。

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