Show simple item record

dc.contributor.authorIrianto, Kurniawan Dwi
dc.date.accessioned2012-04-28T06:54:23Z
dc.date.available2012-04-28T06:54:23Z
dc.date.issued2010-06
dc.identifier.citationGurbuz,Zehra.2006.Traffic Flow Speed Detection.Yildiz Technical University Electric-Electronic Faculty Computer Engineering Department.Istambul. Hassan-Shafique, Khurram.Spring 2003.Computer Vision. Heikkila M,Pietikainen M,Heikkila J.A Texture-based Method for Detecting Moving Objects.Machine Vision Group Infotech Oulu and Department of Electrical and Information Engineering University of Oulu, Finland. Jogiyanto,H M.1993.Konsep Dasar Pemrograman Bahasa C. Andi Offset. Levin,Golan.2004.Computer Vision For Artists Dan Designers : Pedagogic Tools And Techniques For Novice Programmers.Carnegie Mellon University School of Art. McDanie,Troy L.Intel Open Source Computer Vision Library Version 4.0-Beta Installation and Getting Started Guide for Windows.Center for Cognitive Biquitous Computing Arizona State University McIvor,Alan M. Background Subtraction Techniqes. Reveal Ltd PO Box 128-221, Remuera, Auckland, New Zealand (e-mail : alan.mcivor@reveal.co.nz) Munir, Rinaldi.2004.Pengolahan Citra Digital.Informatika Bandung. Piccardi, Massimo.Background Subtraction Techniques : A Review. Computer Vision Research Group (CVRG)University of Technology, Sydney (UTS). Reference Manual.2001. Open Source Computer Vision Library. USA Intel Corporation. Shah, Mubarak.2003.Review Of Computer Vision Education. IEEE Transactions On Education, vol 46, No 1,February 2003. www.hci.iastate.edu/575x/doku.phpen_US
dc.identifier.issn2087-085X
dc.identifier.urihttp://hdl.handle.net/11617/1187
dc.description.abstractAt this decade, the need of monitoring systems in every field is increase rapidly. Many of monitoring systems is applied to improve the security systems as well as the productivities. The implementation always based on the need to keep watch and record all activities that occurs in one location with purpose that if something emergency is happening, we can know and handle it immediately. A building is one of the place that very important to keep save if there are much valuable stuff. Surveillance systems that currently using is operator surveillance camera where many of error factor from human being is unprecise so it is not very efficient to get a maximum result. A surveillance system using camera that can detect the motion as well as record the motion automatically is a alternative method to improve the efficiency where it will more save memory and there is no operator. This paper is describe how to detect the motions and record them using opencv library with web camera. The method used background subtraction and frame differencing technique.en_US
dc.subjectMotionsen_US
dc.subjectcameraen_US
dc.subjectbackground subtraction techniqueen_US
dc.subjectframe differencingen_US
dc.titlePENDETEKSI GERAK BERBASIS KAMERA MENGGUNAKAN OPENCV PADA RUANGANen_US
dc.typeArticleen_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record