Object Tracking using Proposed Framework of KalmanGuided Harmony Search Filter

Authors

  • Akbas E. Ali* * Computer Science Department, University of Technology
  • Dr. Alia K. Abdul Hassan* * Computer Science Department, University of Technology
  • Dr. Hasanen S. Abdullah* * Computer Science Department, University of Technology

Keywords:

object tracking, Harmony filter, Kalman filter

Abstract

In this paper an improvementon the harmony filter is done by adding the Kalman filter after the improvisation process, toguide the filter to reach the convergence state at the lowest possible number of iterations, which means more ability for tracking the moving objects in real time performance, which is a crucial factor in the multi object tracking applications.

Author Biography

Dr. Hasanen S. Abdullah*, * Computer Science Department, University of Technology



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Published

2026-05-03

How to Cite

Akbas E. Ali*, Dr. Alia K. Abdul Hassan*, & Dr. Hasanen S. Abdullah*. (2026). Object Tracking using Proposed Framework of KalmanGuided Harmony Search Filter. AL-Yarmouk Journal, 7(1), 120–137. Retrieved from https://journal.al-yarmok.edu.iq/index.php/alyj/article/view/1719

Issue

Vol. 7 No. 1 (2015)

Section

Articles