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
fDate :
March 31 2009-April 2 2009
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;
Conference_Titel :
Computer Science and Information Engineering, 2009 WRI World Congress on
Conference_Location :
Los Angeles, CA
Print_ISBN :
978-0-7695-3507-4
DOI :
10.1109/CSIE.2009.469
