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In this paper, we propose an automatic object tracking method for traffic video surveillance. The method is designed as a hybrid between a region based and a feature based technique. In a first stage, a motion detection algorithm identifies the objects from the background providing binary masks of the moving objects. In a second stage, a segmentation tool based on a multi-feature analysis further...
Due to the recent advances in ultra high definition (UHD) displays, UHD TV may replace HD TV in a near future. However, little is known about the effect of UHD content on human visual perception, specifically, on human visual attention, viewing strategies, and visual saliency. To help studying these properties of the human visual system and their dynamics when HD content is replaced with UHD content,...
Despite efforts of the scientific community in recent years, little is known about the mechanisms of the human visual system that control visual attention when watching 3D content. To help understanding these mechanisms and develop more accurate visual attention models, we created a public 3D video eye tracking dataset. The dataset provides the eye tracking information corresponding to eight stereoscopic...
Content-based video retrieval has become a very active research area in the last decade due to the increasing number of video content shared on social networks such as YouTube and DailyMotion. While most of the content-based video retrieval approaches employ low-level visual features for global analysis of the video, this paper proposes an object-based retrieval method as an alternative. The goal...
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