Predictive Visual Saliency Model for Surveillance Video
Visual Saliency Models (VSM) mimics the human visual sys-tem to distinguish the salient regions from the non-salient ones in an image or video. Most of the visual saliency model in the literature is static hence they can only be used for images. Motion is important information in case of videos that is not present in still images and thus not used in most of VSMs. There are very few saliency models which take into account both static and motion information. And there is no saliency model in the literature which uses static features, motion, prediction and face feature.