Title :
Localisation and tracking of multiple unknown objects in real environments
Author :
Foresti, Gian Luca
Author_Institution :
Dept. of Biophys. & Electron. Eng., Genoa Univ.
fDate :
3/2/1995 12:00:00 AM
Abstract :
The Letter presents a real-time surveillance system able to localise and track multiple unknown objects (e.g. trunks, trash compactors, etc.) moving simultaneously in a sanitary landfill. Elementary features of moving image areas are used for object localisation, and a network of extended Kalman filters is applied for multiple object tracking
Keywords :
Kalman filters; image recognition; motion estimation; real-time systems; surveillance; tracking filters; waste disposal; extended Kalman filters; image processing; moving image areas; multiple object tracking; object localisation; real environments; real-time surveillance; sanitary landfill; trash compactors; trunks;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:19950266
