{"title":"Towards a Visual Sensor Network Built from Smartphones","authors":"K. Csorba, D. Szalóki, Norbert Koszó","doi":"10.1109/ECBS-EERC.2013.17","DOIUrl":null,"url":null,"abstract":"With the developments of the last years, smart phones became suitable to be used as smart cameras in a visual sensor network. They have the necessary cameras with an acceptable quality of lenses and CCD, the required processing power, and WiFi or Bluetooth interfaces for communication. This paper describes the architecture of the SMEyeL (Smart Mobile Eyes for Localization) system. It is designed to utilize both smart phones and PC-s as processing nodes of a visual sensor network. It aims to achieve high spatial and temporal resolution, energy consumption optimization via computation off-loading and distributed processing. The SMEyeL project is open source: source code and measurement data sets are available on the web. We present the detailed description of the architecture and experimental results related to timing accuracy and localization precision.","PeriodicalId":314029,"journal":{"name":"2013 3rd Eastern European Regional Conference on the Engineering of Computer Based Systems","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2013-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 3rd Eastern European Regional Conference on the Engineering of Computer Based Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ECBS-EERC.2013.17","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
With the developments of the last years, smart phones became suitable to be used as smart cameras in a visual sensor network. They have the necessary cameras with an acceptable quality of lenses and CCD, the required processing power, and WiFi or Bluetooth interfaces for communication. This paper describes the architecture of the SMEyeL (Smart Mobile Eyes for Localization) system. It is designed to utilize both smart phones and PC-s as processing nodes of a visual sensor network. It aims to achieve high spatial and temporal resolution, energy consumption optimization via computation off-loading and distributed processing. The SMEyeL project is open source: source code and measurement data sets are available on the web. We present the detailed description of the architecture and experimental results related to timing accuracy and localization precision.
随着近几年的发展，智能手机已经适合作为视觉传感器网络中的智能摄像头使用。他们有必要的相机，镜头和CCD的质量可以接受，所需的处理能力，以及WiFi或蓝牙接口进行通信。本文描述了SMEyeL (Smart Mobile Eyes for Localization)系统的体系结构。它的设计目的是利用智能手机和pc作为视觉传感器网络的处理节点。它旨在通过计算卸载和分布式处理实现高时空分辨率和能耗优化。SMEyeL项目是开源的:源代码和测量数据集可以在网上找到。详细介绍了该系统的结构及定时精度和定位精度的实验结果。
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
