A People Counting System Based on Dense and Close Stereovision

Authors:
Tarek Yahiaoui;Cyril Meurie;Louahdi Khoudour;François Cabestaing
Affiliations:
French National Institute for Transport and Safety Research (INRETS-LEOST), Villeneuve d'Ascq Cedex, F-59666;French National Institute for Transport and Safety Research (INRETS-LEOST), Villeneuve d'Ascq Cedex, F-59666;French National Institute for Transport and Safety Research (INRETS-LEOST), Villeneuve d'Ascq Cedex, F-59666;(LAGIS laboratory, UMR 8146) Cite Scientifique, University of Sciences and Technology of Lille, Villeneuve d'Ascq Cedex, F-59655
Venue:
ICISP '08 Proceedings of the 3rd international conference on Image and Signal Processing
Year:
2008

Citing 6
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Abstract

We present in this paper a system for passengers counting in buses based on stereovision. The objective of this work is to provide a precise counting system well adapted to buses environment. The processing chain corresponding to this counting system involves several blocks dedicated to the detection, segmentation, tracking and counting. From original stereoscopic images, the system operates primarily on the information contained in disparity maps previously calculated with a novel algorithm. We show that one can obtain a counting accuracy of 99% on a large data set including specific scenarios played in laboratory and on some video sequences shot in a bus during exploitation period.