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Thus, in such networks, it is difficult or may incur considerable cost to retrieve accurate locations of moving vehicles.
We demonstrate the proposed algorithm by generating mosaics of the observed scenes and by registering the spatial locations of moving objects (trajectories) from multiple cameras on the mosaics.
The magnetic field values of taking escalators change rapidly due to the changed locations of moving escalators, while those of standing remain unchanged.
Our tracking mechanism uses the Kalman filter to predict locations of moving objects for the conditions in lack of color information of detected objects.
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Practice shows that the application of CORS service network and Mobile GIS in vehicle positioning monitoring system has improved the accuracy of spatial location of moving vehicles, and has helped visual display of located objects, which has also verified the feasibility to integrate CORS and Mobile GIS for mobile location services.
In this paper we investigate the problem of tracking the location of moving speakers using an array of microphones.
The method eliminates the need of keeping track the location of moving load relative to the element mesh.
Because Waze maps are built on the location of moving cars, it's far more accurate than check-in apps.
This paper analyzes the method of predicting the location of moving target with the Kalman filter and Greedy-ViP approach to establish WSN flat network routing and the data management system.
Recent applications of Computational Intelligence (CI), i.e., Particle Swarm Optimization (PSO), H-Best Particle Swarm Optimization (HPSO), Biogeography Based Optimization (BBO) and Firefly Algorithm (FA) are used respectively to estimate the optimum location of moving target nodes.
For example, fast-OFF RGCs in the salamander anticipate the location of a moving object (Berry et al., 1999), a feature that could be used to predict the location of moving prey (Leonardo and Meister, 2013).
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