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Although primates can facilely maintain long-duration tracking of an object without infection of occlusion or other near similar distracters, it remains a challenge for computer vision system. Studies in psychology suggest that the ability of primates to focus selective attention on the spatial properties of an object is necessary to observe object quickly and efficiently while focus selective attention...
Object tracking is viewed as a two-class ldquoone-versus-restrdquo classification problem, in which the sample distribution of the target is approximately Gaussian while the background samples are often multi-modal. Based on these special properties, we model the visual appearance via graph approach, which is a semi-supervised approach. The topology structure of graph is carefully designed to reflect...
In this article, the motion integration is firstly introduced into dim and small target detection in deep space background, and a target detection model which simulates human vision attention mechanism is designed. This model fully uses the sensitiveness of human vision with orientation and motion characteristics, and realizes the dim and small target detection through the saliency map produced by...
We review some recent techniques for 3D tracking and occlusion handling for computer vision-based augmented reality. We discuss what their limits for real applications are, and why object recognition techniques are certainly the key to further improvements.
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