A Novel Background Initialization Method in Visual Surveillance
نویسنده
چکیده
The hackgro~ind s~ihtraction is a common method for real-time segmentation of moving targets in image sequences. This co~ild he a true image without moving ohjects. Howewr, often a hackgro~ind f r e of moving ohjects is not, available, therefore a model sho~ild he employed. Most of the research works dealing with a hackgro~ind model cope with its updating, hut not with its initialiyation. In this paper we propose an original method which is ahle to effectively extract a reliahle stationary hackgro~ind having at disposal a short sequence with an ind determined n~imher of foreground ohjects. It is hased on the improving of a likelihoodhased hackgro~ind model hy using information ahout reliahle stationary pixels achieved through a simple motion detection algorithm.
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