DocumentCode
820839
Title
Visual vehicle tracking algorithm
Author
Lou, Jianguang ; Tan, Tieniu ; Hu, Weiming
Author_Institution
Inst. of Autom., Acad. Sinica, Beijing, China
Volume
38
Issue
18
fYear
2002
fDate
8/29/2002 12:00:00 AM
Firstpage
1024
Lastpage
1025
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;
fLanguage
English
Journal_Title
Electronics Letters
Publisher
iet
ISSN
0013-5194
Type
jour
DOI
10.1049/el:20020692
Filename
1033249
Link To Document