人体运动检测框架Suzaimah Bt Ramli

K. Ghazali, K. Ghazali, Z.H.B. Hisahuddin, Z.H.B. Hisahuddin
{"title":"人体运动检测框架Suzaimah Bt Ramli","authors":"K. Ghazali, K. Ghazali, Z.H.B. Hisahuddin, Z.H.B. Hisahuddin","doi":"10.1109/ICSENGT.2011.5993441","DOIUrl":null,"url":null,"abstract":"Ordinary CCTV can only be used to record incidents if it occur. It works without preventing it and it is only useful to be an evidence for the investigation. The purpose of developing this project is as the earlier prevention to avoid crime by giving alert or feedback from the object that was detected from captured video. The captured video in this project will be convert into frame of images and being analyze by using MATLAB software that already consist all the techniques of image processing. The output of this project will be classified if there is any motion or not by using the value of total sum of pixel value from each image data. The classification is actually based on the threshold value. This project indirectly reduce weakness and careless of human guard observation as it give continuous 24-hour monitoring of surveillance video to alert security officers to an intruder potential.","PeriodicalId":346890,"journal":{"name":"2011 IEEE International Conference on System Engineering and Technology","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Human motion detection framework Suzaimah Bt Ramli\",\"authors\":\"K. Ghazali, K. Ghazali, Z.H.B. Hisahuddin, Z.H.B. Hisahuddin\",\"doi\":\"10.1109/ICSENGT.2011.5993441\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Ordinary CCTV can only be used to record incidents if it occur. It works without preventing it and it is only useful to be an evidence for the investigation. The purpose of developing this project is as the earlier prevention to avoid crime by giving alert or feedback from the object that was detected from captured video. The captured video in this project will be convert into frame of images and being analyze by using MATLAB software that already consist all the techniques of image processing. The output of this project will be classified if there is any motion or not by using the value of total sum of pixel value from each image data. The classification is actually based on the threshold value. This project indirectly reduce weakness and careless of human guard observation as it give continuous 24-hour monitoring of surveillance video to alert security officers to an intruder potential.\",\"PeriodicalId\":346890,\"journal\":{\"name\":\"2011 IEEE International Conference on System Engineering and Technology\",\"volume\":\"12 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-06-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 IEEE International Conference on System Engineering and Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSENGT.2011.5993441\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE International Conference on System Engineering and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSENGT.2011.5993441","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

摘要

普通的闭路电视只能用来记录发生的事件。它的作用并不是阻止它,它只是有用的作为调查的证据。开发这个项目的目的是通过从捕获的视频中检测到的物体发出警报或反馈,作为早期预防来避免犯罪。本课题将采集的视频转换为图像帧,并使用MATLAB软件进行分析,该软件已经包含了图像处理的所有技术。本项目的输出将使用每个图像数据的像素值总和的值对是否有运动进行分类。分类实际上是基于阈值的。该项目通过24小时不间断的监控视频,提醒安保人员注意潜在的入侵者,间接地减少了人类警卫观察的弱点和粗心。
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
Human motion detection framework Suzaimah Bt Ramli
Ordinary CCTV can only be used to record incidents if it occur. It works without preventing it and it is only useful to be an evidence for the investigation. The purpose of developing this project is as the earlier prevention to avoid crime by giving alert or feedback from the object that was detected from captured video. The captured video in this project will be convert into frame of images and being analyze by using MATLAB software that already consist all the techniques of image processing. The output of this project will be classified if there is any motion or not by using the value of total sum of pixel value from each image data. The classification is actually based on the threshold value. This project indirectly reduce weakness and careless of human guard observation as it give continuous 24-hour monitoring of surveillance video to alert security officers to an intruder potential.
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
Changes in stem diameter of Coelogyne rochussenii and Epidendrum stamfordianum orchid in control growing climate Statistical approach for finding sensitive positions for condition based monitoring of reciprocating air compressors Classification of thumbprint using Artificial Neural Network (ANN) Detecting of zeros locations in a linear differential-difference equation A new proposed location registration procedure in next-generation mobile networks (NGMN)
×
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