SISTEM REALTIME KEAMANAN RUANG MENGGUNAKAN 2 WEBCAM BERBASIS HUMAN MOTION EXTRACTION

Yusron Rijal, Puput Widayanti

Abstract


Security is very important that the rapid growth of technology and computer vision, many are trying to develop a computerized room security system that uses a computer and a webcam. This paper describes a realtime system security space using a webcam. Not only the webcams are used, but 2 is a webcam to webcam space with ample lighting and a webcam to a room without lighting. This meant that the system is capable of working in all ambient conditions, both light and dark. The method used in this study were human motion extraction method, namely extracting human movement affecting change the initial conditions of the room. used to recognize human movement proyection integral method. Projection integral values of objects similar to the integral value of the human being is considered as a projection of human movement.

Keywords : space security systems, realtime, human motion extraction, integral proyection



References


Setiyawan, Agus. 2012. Sistem Keamanan Ruang Menggunakan Web Kamera Berbasis Deteksi Gerak. Unpublished Paper. Teknik Informatika STMIK YADIKA, Bangil.

Irawan, Kanda. 2005. Deteksi Manusia Menggunakan Webcam Pada Aplikasi Berbasis Kecerdasan Buatan. Bandung : Teknik Informatika UNIKOM.

Basuki, Achmad dan Ramadijanti, Nana. 2009. Mengenali Angka Menggunakan Fitur Bentuk Integral Proyeksi. Surabaya : Institute Teknologi Sepuluh November.

Sutoyo, T, dkk. 2009.Teori Pengolahan Citra Digital. Yogyakarta : CV. Andi Offset

Sani, Isa dan Manatap Dolok Lauro. 2006. Seminar nasional system dan informatika Bali 2006. Aplikasi pendeteksi gerakan menggunakan metode spatialdomain dengan pelaporan otomatis ke telepon genggam. Jakarta : Universitas Tarumanagara

Wirawan, Dian. 2009. Perancangan sistem pemantau ruang berbasis kamera server dengan menggunakan handphone. Jakarta : Universitas Mercubuana

Sulistyo, Wiwin. Bech, Yos Richard. Frans, Filipus Y. 2009. Analisis Penerapan Metode Median Filter Untuk Mengurangi Noise Pada Citra Digital. Konferensi Nasional Sistem dan Informatika; Bali, November 14, 2009 KNS&I09-035: hal. 189-195

Irawan, Kanda. 2005. Deteksi Manusia Menggunakan Webcam Pada Aplikasi Berbasis Kecerdasan Buatan. Bandung : Teknik Informatika UNIKOM.

Moore, David. 2003. A real world system for human motion detectiom and tracking. California Institue of Technology.

Banerjee, Prithviraj and Sengupta, Somnath. Human Motion Detection and Tracking for Video Surveillance. Departement of Electronics and Electrical Communication Engineering Indian Institute of Technology, Kharagpur India. 2007.




DOI: http://dx.doi.org/10.53567/spirit.v6i1.31

Refbacks

  • There are currently no refbacks.


Copyright (c) 2016 Jurnal SPIRIT




 

 

Indexed By :



SPIRIT : Sarana Penunjang Informasi Terkini 

Diterbitkan oleh Fakultas Teknologi Informasi Institut Teknologi dan Bisnis Yadika Pasuruan
Alamat Redaksi: Jl. Bader No.9, Kwangsan, Kalirejo, Kec. Bangil, Pasuruan, Jawa Timur 67153
Telp/Fax: (0343) 742070, Email : lppm@stmik-yadika.ac.id
Google Maps : Klik Here


 Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.