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Motion segmentation for dynamic scene is fundamental in computer vision. The key issue is to estimate number and parameters of transformations simultaneously. However, transformations cannot be measured by general Euclidean distance because of them not lying in vector space. In this paper, we convert transformations into fitness vectors which can be easily measured by cosine similarity. Then we apply...
Speed-density relationships are one of models used by a mesoscopic traffic simulator to represent traffic dynamics. While the classical speed-density relationships provide a useful insight into the traffic dynamics problem and have theoretical value to traffic flow, for such applications they are limited This paper focuses on calibrating parameters for the speed-density relationships by using data...
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