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This "Work In Progress" paper reports on a novel approach to pedestrian tracking in confined areas which is based on a combined use of a stereo vision tracking system and a set of sensors available on a mobile platform. This platform is a hands-free, sensory augmented, wearable computer, designed to support visits to museums and archaeological sites. The system is going to be demonstrated within the framework of a Cultural Heritage application at the "Musei Universitari di Palazzo Poggi" in Bologna" 1 .

Abstract.We have recently proposed a change-detection algorithm based on the idea of incorporating into the background model a set of simple low-level features capable of capturing effectively "structural" information. In this paper we show how this algorithm can naturally interact with the higher-level processing modules found in advanced videobased surveillance systems so as to allow for flexible and intelligent background maintenance.