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All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika Compiler CCIT (Creative Communication and Innovative Technology) Journal Journal of Soft Computing Exploration
pambudi, elindra ambar
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Computer Science & IT

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Journal : Compiler

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Impact of Wolf Thresholding on Background Subtraction for Human Motion Detection Pambudi, Elindra Ambar; Nurhidayat, Muhammad Ivan
Compiler Vol 13, No 1 (2024): May
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/compiler.v13i1.2116

Abstract

Series of motion detection based on background subtraction there is an image segmentation stage. Thresholding is a common technique used for the segmentation process. There are two types that can be used in thresholding techniques namely local and global. This research intends to implement local adaptive wolf thresholding as the threshold value of the background subtraction method to detect motion objects. The proposed method consists of the reading frame, background and foreground initialization of each frame, preprocessing, background subtraction, wolf thresholding, providing a bounding box, and running frame sequentially. Based on MSE and PSNR obtained on four videos, it has shown that wolf thresholding has succeeded in outperforming of global threshold.
Co-Authors Damarsiwi, Dyah Kartika Dimara Kusuma Hakim Ermadi Satriya Wijaya, Ermadi Satriya Feri Wibowo Fitriani, Maulida Ayu Nurhidayat, Muhammad Ivan Romodhon, Dion Widyantri, Shafrila