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Visual attention is a complex concept that includes many processes to find the region of concentration in a visual scene. In this paper, we discuss a spatio-temporal visual saliency model where the visual information contained in videos is divided into two types: static and dynamic that are processed by two separate pathways. These pathways produce intermediate saliency maps that are merged together to get salient regions distinct from what surround them. Evidently, to realize a more robustdoi:10.1109/dasip.2010.5706268 dblp:conf/dasip/RahmanHPA10 fatcat:ybwoaxyyyzeflnkdcijejk6b5y