基于电容层析成像的目标检测

Stephan Mühlbacher-Karrer, H. Zangl
{"title":"基于电容层析成像的目标检测","authors":"Stephan Mühlbacher-Karrer, H. Zangl","doi":"10.1109/SAS.2015.7133574","DOIUrl":null,"url":null,"abstract":"Robust object detection and low computational effort are two key issues, which have to be addressed when Electrical Capacitance Tomography (ECT) is applied in the field of mobile applications. In this paper we present an object detection technique in combination with an artefact reduced fast reconstruction algorithm. The approach achieves a high object detection rate in the vicinity and center of the sensor front end. The proposed light-weight signal processing chain is the key to integrate this sensing technology on a platform limited in terms of space, energy and computational resources.","PeriodicalId":384041,"journal":{"name":"2015 IEEE Sensors Applications Symposium (SAS)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Object detection based on electrical capacitance tomography\",\"authors\":\"Stephan Mühlbacher-Karrer, H. Zangl\",\"doi\":\"10.1109/SAS.2015.7133574\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Robust object detection and low computational effort are two key issues, which have to be addressed when Electrical Capacitance Tomography (ECT) is applied in the field of mobile applications. In this paper we present an object detection technique in combination with an artefact reduced fast reconstruction algorithm. The approach achieves a high object detection rate in the vicinity and center of the sensor front end. The proposed light-weight signal processing chain is the key to integrate this sensing technology on a platform limited in terms of space, energy and computational resources.\",\"PeriodicalId\":384041,\"journal\":{\"name\":\"2015 IEEE Sensors Applications Symposium (SAS)\",\"volume\":\"10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-04-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE Sensors Applications Symposium (SAS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SAS.2015.7133574\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE Sensors Applications Symposium (SAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SAS.2015.7133574","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9

摘要

在移动领域中应用电容层析成像技术(ECT)需要解决的两个关键问题是目标检测的鲁棒性和计算量的低。本文提出了一种结合伪影减少快速重建算法的目标检测技术。该方法在传感器前端的中心和附近实现了较高的目标检测率。所提出的轻量化信号处理链是将这种传感技术集成到空间、能源和计算资源有限的平台上的关键。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Object detection based on electrical capacitance tomography
Robust object detection and low computational effort are two key issues, which have to be addressed when Electrical Capacitance Tomography (ECT) is applied in the field of mobile applications. In this paper we present an object detection technique in combination with an artefact reduced fast reconstruction algorithm. The approach achieves a high object detection rate in the vicinity and center of the sensor front end. The proposed light-weight signal processing chain is the key to integrate this sensing technology on a platform limited in terms of space, energy and computational resources.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Microimmune algorithm for sensor network localization Empirical evaluation of OI-MAC: Direct interconnection between wireless sensor networks for collaborative monitoring DiverNet — A network of inertial sensors for real time diver visualization Sensor fusion for intrusion detection under false alarm constraints Fault tolerant and scalable IoT-based architecture for health monitoring
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1