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.
fDate :
3/17/1994 12:00:00 AM
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;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:19940363
