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Distributed extended Kalman filtering network for estimation and tracking of multiple objects

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1 Author(s)
C. S. Regazzoni ; Dept. of Biophys. & Electron. Eng., Genoa Univ.

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

Published in:

Electronics Letters  (Volume:30 ,  Issue: 15 )