Comparative Analysis of Background Subtraction, Haar Cascade and SSD Methods in Detecting Cars

  • Tristan Nugraha Tanaya Universitas Udayana
  • I Gusti Ngurah Anom Cahyadi Putra Universitas Udayana

Abstract

This research was conducted to detect and count cars that are passing on the highway quickly. In this study, 3 methods will be applied, namely the Background Subtraction, Haar Cascade, and Single Shot Detector (SSD) methods. This study will compare the best methods for calculating cars on the highway. Based on the results of research using the Haar Cascade method, the results are quite good compared to other methods. But using these three methods the author has not gotten satisfactory results. Due to many factors that cause this comparison is not satisfactory. Starting with simple coding, poor video quality is also one of the factors that this research is unsatisfactory.

Published
2022-11-25
How to Cite
TANAYA, Tristan Nugraha; PUTRA, I Gusti Ngurah Anom Cahyadi. Comparative Analysis of Background Subtraction, Haar Cascade and SSD Methods in Detecting Cars. Jurnal Nasional Teknologi Informasi dan Aplikasnya, [S.l.], v. 1, n. 1, p. 441-450, nov. 2022. ISSN 3032-1948. Available at: <https://ojs.unud.ac.id/index.php/jnatia/article/view/92838>. Date accessed: 19 nov. 2024.

Most read articles by the same author(s)

Obs.: This plugin requires at least one statistics/report plugin to be enabled. If your statistics plugins provide more than one metric then please also select a main metric on the admin's site settings page and/or on the journal manager's settings pages.