Author(s)

L. Khoudour & J.L. Bruyelle

Abstract

Falls on the track detection in public transport by artificial vision L. Khoudour* & J.L. Bruyelle* ": INRETS : Institut National de Recherches sur les Transports et leur Securite, 20, rue Elisee Reclus 59650, Villenueve d'Ascq Email: khoudour@terre.inrets.fr *: USTL : Universite des Sciences et Technologies de Lille, 59650 Villeneuve d'Ascq Abstract The aim of this application is to improve safety by detecting automatically people or objects falling on or crossing the tracks in public transport. Through computer vision processing, the system to be developed determines and sends, in due time and via a satisfactory Human Machine Interface (HMI), alarms and the corresponding video image to the systems operators. In the current version of the system, to detect falls on the tracks, we propose to fix the cameras on the ceiling, aimed vertically so that the framing delineates clearly what is standing on the platform from what is above the tracks. To detect falls, only the

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