A method for analyzing work tasks and status by video-and-PC-monitoring system
AMC '09 Proceedings of the 2009 workshop on Ambient media computing
A suspicious behaviour detection using a context space model for smart surveillance systems
Computer Vision and Image Understanding
Toward visually inferring the underlying causal mechanism in a traffic-light-controlled crossroads
ACIVS'06 Proceedings of the 8th international conference on Advanced Concepts For Intelligent Vision Systems
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In this paper, a visual-based surveillance system for monitoring motorway infrastructures is presented. The system receives in input a sequence of color images and makes out an interpretation of the observed scene according to a set of possible events previously defined.The considered events are divided into four classes and range from normal situations (any object is present on the surveilled overpass) to very dangerous situations (persons performing harmful behaviors). Experimental results are presented on a long real image sequence containing two persons with suspicious behavior moving into a limited area of a motorway overpass.