The Removal of False Detections from Foreground Regions Extracted Using Adaptive Background Modelling for a Visual Surveillance System
作者： Dariusz Frejlichowski , Katarzyna Gościewska , Paweł Forczmański , Adam Nowosielski , Radosław Hofman
DOI: 10.1007/978-3-642-40925-7_24
关键词:
摘要: For recent surveillance systems, the false detection removal process is an important step which succeeds extraction of foreground regions and precedes classification object silhouettes. This paper describes when applied to ’SmartMonitor’ system — i.e. innovative monitoring based on video content analysis that currently being developed ensure safety people assets within small areas. firstly briefly basic characteristics advantages system. A description methods used for background modelling also given. The then goes explain artefacts using various models. Finally presents some experimental results alongside a concise explanation them.
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sci-hub.st 参考文章(14)
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