Title :
Distributed extended Kalman filtering network for estimation and tracking of multiple objects
Author_Institution :
Dept. of Biophys. & Electron. Eng., Genoa Univ.
fDate :
7/21/1994 12:00:00 AM
Abstract :
The author presents a strategy for tracking areas occupied by many objects moving in a scene and monitored by means of image sequences. The proposed strategy can be used to solve the problems of crowding estimation and localisation of groups of people in underground stations
Keywords :
Kalman filters; image recognition; image sequences; tracking; crowding estimation; distributed extended Kalman filtering network; image sequences; localisation; moving scene; multiple object tracking; people groups; underground stations;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:19940810
