Frame-Based Change Detection Using Histogram and Threshold to Separate Moving Objects from Dynamic Background

Hala A.  Jasim; Loay E.  George; Mohammed I.  Abd-almajied

doi:10.24996/ijs.2024.65.7.%g

Authors

Hala A. Jasim Department of computer science, College of Science, University of Baghdad, Baghdad, Iraq
Loay E. George University of Information Technology and Communication, Baghdad, Iraq
Mohammed I. Abd-almajied Department of Remote Sensing & GIS, College of Science, University of Baghdad, Baghdad, Iraq https://orcid.org/0000-0001-6636-7014

DOI:

https://doi.org/10.24996/ijs.2024.65.7.%25g

Keywords:

Change Detection, Dynamic Background Separation, Moving Object Detection, Ground truth, proposed system

Abstract

Detecting and subtracting the Motion objects from backgrounds is one of the most important areas. The development of cameras and their widespread use in most areas of security, surveillance, and others made face this problem. The difficulty of this area is unstable in the classification of the pixels (foreground or background). This paper proposed a suggested background subtraction algorithm based on the histogram. The classification threshold is adaptively calculated according to many tests. The performance of the proposed algorithms was compared with state-of-the-art methods in complex dynamic scenes.