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Reports Year : 2001

AI Techniques for VSIS Human Tracker


The aim of this work is to track humans in a known environment. The input data are pre-segmented video streams captured with a fixed camera.  In this paper we propose a new approach to the problem of simple hypothesis non-delayed human tracking.  Furthermore the approach handles simultaneously and in a unified manner the actual similarity matching and the associated real-world problems of entries, exits, occlusions and false detections (noise). Results on visual surveillance applications for security in metro stations , security in banks and monitoring in offices are shown. Quantitative results of this method in terms of time performance are presented.


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Dates and versions

inria-00072488 , version 1 (24-05-2006)


  • HAL Id : inria-00072488 , version 1


Nathanaël Rota, Robert Stahr, Monique Thonnat. AI Techniques for VSIS Human Tracker. RR-4138, INRIA. 2001. ⟨inria-00072488⟩
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