DocumentCode
495693
Title
Moving Vehicle Tracking Based on Unscented Kalman Filter Algorithm
Author
Wang-lingqun ; Pan-shizhu ; Zheng-yingping
Author_Institution
Inst. of Inf., Shanghai Ocean Univ., Shanghai, China
Volume
2
fYear
2009
fDate
March 31 2009-April 2 2009
Firstpage
33
Lastpage
38
Abstract
Based on many model tracking methods, this paper presents a new moving vehicle model. In this new model, unscented Kalman filter is used to track the moving vehicle. The model is simple but more accurate to describe the characters of moving vehicle. The simulation and experiment results of the model indicate that the algorithm efficiently solves the problem of nonlinear moving object tracking.
Keywords
image motion analysis; object detection; target tracking; model tracking methods; moving vehicle tracking; nonlinear moving object tracking; simulation results; unscented kalman filter algorithm; Automobiles; Automotive engineering; Bicycles; Marine vehicles; Motion analysis; Shape; Target tracking; Vehicle driving; Vehicle dynamics; Wheels;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Information Engineering, 2009 WRI World Congress on
Conference_Location
Los Angeles, CA
Print_ISBN
978-0-7695-3507-4
Type
conf
DOI
10.1109/CSIE.2009.469
Filename
5171296
Link To Document