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Human Tracking in Computer Vision is a very active up-going research area. Previous works analyze this topic by applying algorithms and features extraction in 2D, while 3D tracking is quite an unexplo...
Several sensors have been tested for improving the interaction between humans and machines including traditional web cameras, special gloves, haptic devices, cameras providing stereo pairs of images a...
This paper presents a motion detection and object tracking technique for digital video surveillance applications. Motion analysis algorithms are based on processing of multiple-regression pseudospectr...
Our work addresses the problem of long-term visual people tracking in complex environments. Tracking a varying number of objects entails the problem of associating detected objects to tracked targets....
Use of high resolution radar imagery for coastal currents monitoring has been known as an active topic in several research institutions. In this study, we demonstrate a new method for coastal currents...
The penetration of GSM capable devices is very high, especially in Europe. To exploit the potential of turning these mobile devices into dynamic data acquisition nodes that provides valuable data for ...
In this paper, we propose the automatic exterior orientation procedure for the Low-cost Unmanned Aerial Vehicle (UAV) photogrammetry. The Low-cost UAV has become useful tool for low altitude photogram...
The aim of our work is to combine multiple cameras for a robust tracking of persons in an outdoor environment. Although surveillance is a well established field, many algorithms apply various constrai...
Vectorization of cartographic features is a difficult task in geographic information acquisition from topographic maps. This paper presents a semi-automatic approach to linear feature vectorization ...
The aim of this paper is to express the application of tracking technologies in Urban Design and Planning. Tracking technologies can be used to monitor different user groups in different occasions. Si...
Recently, analysis of man events in real-time using computer vision techniques became a very important research field. Especially, understanding motion of people can be helpful to prevent unple...
In this paper we propose a new method to detect and track multiple moving targets on image sequences recorded by Unmanned Aerial Vehicles (UAVs). Our approach focuses on challenging urban scenarios, w...
Reducing Vehicle Tracking Data Volume through a Network-based Approach.
Caused by the rising interest in traffic surveillance for simulations and decision management many publications concentrate on automatic vehicle detection or tracking. Quantities and velocities ...
Derivation of statistical traffic data is highly dependent on the balance of detection and false alarm rates. In case false alarms have not been eliminated in the initial detection phase, they are o...

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