Title :
Visual vehicle tracking algorithm
Author :
Lou, Jianguang ; Tan, Tieniu ; Hu, Weiming
Author_Institution :
Inst. of Autom., Acad. Sinica, Beijing, China
fDate :
8/29/2002 12:00:00 AM
Abstract :
A modified extended Kalman filter (EKF) is proposed for visual vehicle tracking by adding a new objective function to reduce the sensitivity of the filter to model uncertainty. Experimental results show that the performance of this approach is much better than the traditional EKF and its recent variant
Keywords :
Kalman filters; filtering theory; image processing; optical tracking; road traffic; road vehicles; surveillance; tracking filters; traffic engineering computing; autonomous visual traffic surveillance system; complicated manoeuvre; linear dynamic model; modified extended Kalman filter; motion model uncertainty; objective function; vehicle manoeuvre; visual vehicle tracking algorithm;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:20020692
