DETEKSI DAN PENGGOLONGAN KENDARAAN DENGAN KALMAN FILTER DAN MODEL GAUSSIAN DI JALAN TOL

Faisal Waliulu, Raditya and Adi, Kusworo and Gunawan, Vincencius (2016) DETEKSI DAN PENGGOLONGAN KENDARAAN DENGAN KALMAN FILTER DAN MODEL GAUSSIAN DI JALAN TOL. Prosiding Seminar Nasional Hasil-Hasil Penelitian Pascasarjana, SPS UNDIP . pp. 269-281. ISSN 978 - 602 - 60921 - 4 - 4

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Abstract

At this presents how to record a moving object and save as new video files (*.avi) resolution 640x480, then stored in storage. Moving object given line ROI (Region of Interest) to easily detected than filtering the moving objects (Vehicles) by using a Gaussian Mixture Model (GMM) with 2 types of distribution, i.e. Bacground and Foreground distribution. The shape of the foreground distribution is filtered by morphological operations and segmented by using Bit Large Object (BLOB) Segmentation to get the vehicle dimensions. Feature extraction results of these vehicles, will be used as data organized for vehicles classification. The results of segmentation BLOB used to kalman filter for counting moving object if segmentation BLOB doesn't found object than continue the next frames. The last Result about these is detection system will calculate for validation using True Positiv, True Negative, False Positive, and False Negative looking for sensitivitas and spesifisitas each conditions dawn, afternoon and dusk.

Item Type:Article
Subjects:T Technology > Computer engineering. Embedded system. Network. Softwares. Robotics. Multimedia
Divisions:School of Postgraduate (mixed) > Master Program in Information System
ID Code:60533
Deposited By:Mr/Mrs Bapsi Undip
Deposited On:06 Feb 2018 10:35
Last Modified:06 Feb 2018 10:35

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