DocumentCode
1067086
Title
Real-time approach to 3-D object tracking in complex scenes
Author
Matteucci, P. ; Regazzoni, C.S. ; Foresti, Gian Luca
Author_Institution
Dept. of Biophys. & Electron. Eng., Genoa Univ.
Volume
30
Issue
6
fYear
1994
fDate
3/17/1994 12:00:00 AM
Firstpage
475
Lastpage
477
Abstract
A real-time tracking algorithm for estimating the positions, motions and dimensions of unknown objects in image sequences is presented. Processing is based on the dynamic model of the motion imaging situation and on Kalman filter theory. Experimental results on synthetic and real images demonstrate the applicability of the algorithm to surveillance systems
Keywords
Kalman filters; image sequences; mobile robots; motion estimation; real-time systems; tracking; 3D object tracking; Kalman filter theory; autonomous vehicle; complex scenes; computer vision; dimension estimation; dynamic model; image sequences; motion estimation; motion imaging situation; position estimation; real images; real-time tracking algorithm; surveillance systems; synthetic images; unknown objects;
fLanguage
English
Journal_Title
Electronics Letters
Publisher
iet
ISSN
0013-5194
Type
jour
DOI
10.1049/el:19940363
Filename
280562
Link To Document