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Car following models as well-known moving objects trajectory problems have been used for more than half a century in all traffic simulation software for describing driving behaviour in traffic flows. ...
In this paper, we address the registration of two images as an optimization problem within indicated bounds. Our contribution is to identify such situations where the optimum value represents the real...
Qualitative representing and reasoning for road network moving objects is an important problem in spatio-temporal reasoning, but it is till open. We propose a new spatial algebra for road network movi...
This paper derives the theoretical background for upcoming dual-channel radar satellite missions to monitor traffic from space. As it is well-known, an object moving with a velocity deviating from the...
In recent years, electronics and computer technology have been applied to the development of survey instruments, and the methods of measurement have widely changed. We make use of sophisticated syste...
In this paper, we propose a new approach for moving objects detection in video surveillance systems. It is based on construction of the regression diffusion maps for the image sequence. This approac...
Motion imagery datasets capture evolving phenomena like the movement of a car or the progress of a natural disaster at video or quasi-video rates. The identification of individual spatiotemporal traje...
In this paper a new approach for moving objects detection in video surveillance systems is proposed. It is based on iLBP (intensity local binary patterns) descriptor that combines the classic LBP (loc...
This paper considers a statistical approach to define pseudo-moving (false) objects in video surveillance systems by constructing systems of hypothesis with the criteria based on statistical behaviora...
In future, 3 Dimensions Geographic information System (3D GIS) should support the temporal dimensions modeling and manage all three components efficiently. It is difficult for current 3D Visualization...

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