Penggunaan Deteksi Gerak untuk Pengurangan Ukuran Data Rekaman Video Kamera CCTV
Jockie P Sagala(1*), Ika Candradewi(2), Agus Harjoko(3)
(1) Prodi Elektronika dan Instrumentasi, DIKE, FMIPA UGM, Yogyakarta,
(2) Departemen Ilmu Komputer dan Elektronika, FMIPA UGM, Yogyakarta
(3) Departemen Ilmu Komputer dan Elektronika, FMIPA UGM, Yogyakarta
(*) Corresponding Author
Abstract
Some cases the recording data of Closed Circuit Television (CCTV) is stored for future use. In the long term usage, the files size will grow larger and requiring large storage devices. In some cases, the recorded data not only image with the desired object but also the background images that may be recorded for long periods of time. This cases make data storage device usage to be less effective. So this research will design a system of CCTV devices that capable to select images to reduce the size of stored images data by image processing.
The images selection of this system is based on based on adaptive median algorithm. When any object get detected, the images data to be saved is current input frame. Otherwise, the data to be saved is background model image. Background model on this system is adapted with the change visual data of background image.
The results obtained from this research in the form of a CCTV system that are able to select recording data to be stored with image processing. The background model will be kept adapting with background visual data changes.
Keywords
Full Text:
PDFReferences
[1] M. Basori, dan I. Navianto dan Zakaria, 2013, “Penggunaan Data yang Diperoleh dari Rekaman Closed Circuit Television (CCTV) dalam Membantu Penyidik Mengungkap Terjadinya Tindak Pidana”, Fakultas Hukum, Universitas Brawijaya, Malang [Online]. Avaliable: http://hukum.studentjournal.ub.ac.id/index.php/hukum/article/download/334/328 [Accessed: 29 May 2018].
[2] N. Singla, 2014, “Motion Detection Based on Frame Difference Method, International Journal of Information and Computation Technology”, vol. 15, no. 4, pp. 1559-1565 [Online]. Avaliable: https://www.ripublication.com/irph/ijict_spl/ijictv4n15spl_10.pdf [Accessed: 3 May 2018].
[3] H. O. Wibawa, A. Harjoko, 2015, "Purwarupa Pengoperasian TV Dengan Mendeteksi Isyarat Jari Berbasis Pengolahan Citra Digital", IJEIS, vol. 5, no. 1, pp. 31-42 [Online]. Avaliable: https://doi.org/10.22146/ijeis.7151 [Accessed: 30 May 2018].
[4] R. I. Alhaqq, A. Harjoko, 2015, "Pengolahan Citra Digital untuk Keyboard Virtual Sebagai Antarmuka pada Aplikasi Berbasis Web", IJEIS, vol. 5, no. 2, pp. 111-122 [Online]. Avaliable: http://dx.doi.org/10.22146/ijeis.7634 [Accessed: 30 May 2018].
[5] X. Niu and J. Fan, "System-on-a-Chip (SoC) Based Hardware Acceleration for Video Codec", Optics and Photonics Journal, vol. 3 no. 2B, 2013, pp. 112-117 [Online]. Avaliable: http://dx.doi.org/10.4236/opj.2013.32B028 [Accessed: 30 May 2018]
[6] W. Yi, P.-M. Jodoin, F. Porikli, J. Konrad, Y. Benezeth, and P. Ishwar, 2014, “CDnet 2014: An Expanded Change Detection Benchmark Dataset”, in Proc. IEEE Workshop on Change Detection (CDW-2014) at CVPR-2014, pp. 387-394 [Online]. Avaliable: http://www.cv-foundation.org//openaccess/content_cvpr_workshops_2014/W12/papers/Wang_CDnet_2014_An_2014_CVPR_paper.pdf [Accessed: 16-May-2018]
[7] A. Sobral dan A. Vacavant, 2014, “A Comprehensive Review of Background Subtraction Algorithms Evaluated with Synthetic and Real Videos”. [Online]. Available: https://www.researchgate.net/publication/259340906_A_comprehensive_review_of_background_subtraction_algorithms_evaluated_with_synthetic_and_real_videos. [Accessed: 16-May-2018]
[8] D. M. Saidou, 2017, "Tracking a Moving Objects Using Foreground Detector and Improved Morphological Filter", Open Access Library Journal, vol. 4, no. 12, pp. 1-7 [Online]. Avaliable: https://doi.org/10.4236/oalib.1104152 [Accessed: 30 May 2018]
[9] L. Maddalena and A. Petrosino. "The SOBS algorithm: what are the limits?" In IEEE Workshop on Change Detection, vol. 17, no. 7, July 2008, pp 1168-1177 [Online]. Avaliable: https://dl.acm.org/citation.cfm?id=2321600 [Accessed: 12-May-2018]
[10] J. Yao dan J.-M. Odobez, "Multi-Layer Background Subtraction Based on Color and Texture", 2007, IDIAP Research Institute, Rue du Simplon 4, 1920 Martigny, Switzerland [Online]. Avaliable: http://www.idiap.ch/~odobez/human-detection/doc/YaoOdobezCVPR-VS2007.pdf. [Accessed: 12-May-2018]
DOI: https://doi.org/10.22146/ijeis.35983
Article Metrics
Abstract views : 2774 | views : 1937Refbacks
- There are currently no refbacks.
Copyright (c) 2020 IJEIS (Indonesian Journal of Electronics and Instrumentation Systems)
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
View My Stats1