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DEKF system for crowding estimation by a multiple-model approach

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3 Author(s)
F. Cravino ; Dept. of Biophys. & Electron. Eng., Genoa Univ. ; M. Dellucca ; A. Tesei

A distributed extended Kalman filter (DEKF) network devoted to real-time crowding estimation for surveillance in complex scenes is presented. Estimation is carried out by extracting a set of significant features from sequences of images. Feature values are associated by virtual sensors with the estimated number of people using nonlinear models obtained in an off-line training phase. Different models are used, depending on the positions and dimensions of the crowded subareas detected in each image

Published in:

Electronics Letters  (Volume:30 ,  Issue: 5 )