Research on Moving Vehicles Tracking Algorithm Based on Feature Points and AKF

Author

Wang, Jinhua ; Li, Yu ; Ren, Chongyu ; Cao, Jie

Author_Institution

Coll. of Electr. & Inf. Eng., Lanzhou Univ. of Technol., Lanzhou, China

fYear

2009

fDate

19-20 Dec. 2009

Firstpage

1

Lastpage

4

Abstract

In order to solve the problem of real-time factor and accuracy factor in video image tracking, we present a real-time tracking algorithm of moving vehicle based on feature points. We provide a simple and practical feature points matching algorithm using Adaptive Kalman Filter (AKF). The results of simulation experiments show that the algorithm performs well in fast tracking maneuvering target, which can not only describe the target accurately, but decrease the time of matching computation.

Keywords

adaptive Kalman filters; image motion analysis; object detection; real-time systems; target tracking; vehicles; video signal processing; adaptive Kalman filter; feature points matching algorithm; moving vehicles tracking algorithm; real-time tracking algorithm; video image tracking; Acceleration; Adaptive filters; Automotive engineering; Educational institutions; Equations; Filtering algorithms; Kalman filters; Space technology; Target tracking; Vehicles;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Engineering and Computer Science, 2009. ICIECS 2009. International Conference on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-4994-1

Type

conf

DOI

10.1109/ICIECS.2009.5362536

Filename

5362536