Impact of Wolf Thresholding on Background Subtraction for Human Motion Detection
| Autor: | Elindra Ambar Pambudi, Muhammad Ivan Nurhidayat |
|---|---|
| Jazyk: | English<br />Indonesian |
| Rok vydání: | 2024 |
| Předmět: | |
| Zdroj: | Compiler, Vol 13, Iss 1, Pp 39-44 (2024) |
| Druh dokumentu: | article |
| ISSN: | 2252-3839 2549-2403 |
| DOI: | 10.28989/compiler.v13i1.2116 |
| Popis: | 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. |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
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