أعضاء هيئة التدريس - جامعة بنها
Evaluation of Moving Object Tracking Techniques for Video Surveillance Applications
International Journal of Current Engineering and Technology • 2015
معلومات البحث
المؤلفون
Mahmoud A. Aldosokey, Wael A. Mohamed and Mahmoud F. Mahmoud
الكلمات المفتاحية
Object tracking, Kalman filter, Particle filter
المجلة العلمية
International Journal of Current Engineering and Technology
الناشر
Not Available
المجلد
5
العدد
No.6 (Dec 2015)
الصفحات
3634-3642
publication.type
International
رابط البحث
Open Link
المواد المرفقة
Not Available
الملخص
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.