Evaluation of Moving Object Tracking Techniques for Video Surveillance Applications

Authors

  • Mahmoud A. Aldosokey Electrical Engineering Department, Benha Faculty of Engineering, Benha University, Qalubia, Egypt Author
  • Wael A. Mohamed Electrical Engineering Department, Benha Faculty of Engineering, Benha University, Qalubia, Egypt Author
  • Mahmoud F. Mahmoud Electrical Engineering Department, Benha Faculty of Engineering, Benha University, Qalubia, Egypt Author

DOI:

https://doi.org/10.14741/

Keywords:

Object tracking, Kalman filter, Particle filter

Abstract

This paper presents a comparison between the performance of Kalman filter and particle filter in the single object tracking system. The performance parameters of interest are the processing time of the algorithm and the accuracy of the tracking system. The algorithms are implemented using MATLAB and tested using two video sequences, and the results are compared and discussed.

References

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Published

2015-12-31

Issue

Vol.5, No.6 (Nov/Dec 2015)

Section

Articles

How to Cite

Evaluation of Moving Object Tracking Techniques for Video Surveillance Applications. (2015). International Journal of Current Engineering and Technology, 5(6), 3634-3642. https://doi.org/10.14741/