| publication name | Evaluation of Moving Object Tracking Techniques for Video Surveillance Applications |
|---|---|
| Authors | Mahmoud A. Aldosokey, Wael A. Mohamed and Mahmoud F. Mahmoud |
| year | 2015 |
| keywords | Object tracking, Kalman filter, Particle filter |
| journal | International Journal of Current Engineering and Technology |
| volume | 5 |
| issue | No.6 (Dec 2015) |
| pages | 3634-3642 |
| publisher | Not Available |
| Local/International | International |
| Paper Link | http://inpressco.com/category/ijcet/vol-5-no-6-dec-2015/ |
| Full paper | download |
| Supplementary materials | Not Available |
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.