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The paper presents some improvements to a novel approach for the determination of 3-D flow velocity fields, which is based on 3-D particle tracking in a tomographic reconstruction of an observation v...
Unmanned aerial vehicle is a new platform for remote sensing, and the primary sensor of it is video camera. Video, also could be called dynamic image is the most important data format which obtained b...
The full automation of 3-D spatial data reference and revision requires spatial registration between existing spatial data and newly acquired data. In addition, it must be able to recognize an object’...
Simultaneous tracking of features acquired by multiple video cameras mounted on a rig opens new possibilities for ego-motion estimation and 3D scene modeling. In this paper we propose a novel approach...
Traffic monitoring requires mobile and flexible systems that are able to extract densely sampled spatial and temporal traffic data in large areas in near-real time. Video-based systems mounted on aeri...
Traffic monitoring requires mobile and flexible systems that are able to extract densely sampled spatial and temporal traffic data in large areas in near-real time. Video-based systems mounted on aeri...
Traffic monitoring requires mobile and flexible systems that are able to extract densely sampled spatial and temporal traffic data in large areas in near-real time. Video-based systems mounted on aeri...
Measuring positions, velocities and accelerations/decelerations of individual vehicles in congested traffic with standard traffic monitoring equipment, such as inductive loops, are not feasible. The ...
The increase of tourism in coastal protected areas is potentially one of the drivers of ecosystem fragmentation with the consequent important damages to their biodiversity values. One of the key manag...
For analyzing dynamic scenarios characterized by many ground moving vehicles, airborne GMTI radar is a well-suited sensor due to its wide-area, all-weather, day/night, and real time capabilities (GMTI...
Automated road tracking is important for map revision but is currently not reliable enough to be useful for industrial applications.Consequently semi-automatic road tracking has become the preferred s...
This study presents an application of digital video camera for object tracking and positioning. The main purpose of the study is to automatically trace and position a motionless object on the video i...
Tracking pedestrians is an important topic in the field of pattern recognition and image understanding due to its various applications. Although video-based approaches have been studied for decades, ...
This paper aims at an estimation of parameters of person recognition models using a sequential Bayesian filtering method. In many human tracking method, any parameters of models used for recognize the...
In this paper, we leverage spatial model to process indoor localization results and then improve the track consisting of measured locations. We elaborate different parts of spatial model such as geome...

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