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Sensor planning chiefly applies to optimizing surveillance tasks, such as persistent tracking by designing and utilizing camera placement strategies. Against substituting new optimized camera networks for those still in usage, online sensor planning hereby involves the design of vision algorithms that not only select cameras which yield the best results, but also improve the quality with which surveillance...
Blur is one of the most important features related to image quality. Accurately estimating the blur level of an image is of great help to estimate its quality. In this paper, a No Reference Block-based Blur Detection (NR-BBD) algorithm is proposed. It calculates the local blur at the boundaries of Macro Blocks (MBs) and then averages all of them to get the blur of the image. A content dependent weighting...
Frame-skipping videos usually appear in wireless video sensor networks which have wirelessly interconnected devices that are able to ubiquitously retrieve video content from the environment. Frame-skipping videos bring to difficulties in getting the transition model (how objects move between frames). We propose a particle filter with global motion detection requiring no offline or online learning...
Composable simulation is one of the most important trends in simulation community, in which semantic composibility is the essence. Currently, there are not any applicable approaches for semantic specification of simulation components. In this paper, ontology theory and feature models are introduced. The semantic models of simulation components consist of conception space, definition space and contest...
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