The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Mobile network operators can track subscribers via passive or active monitoring of device locations. The recorded trajectories offer an unprecedented outlook on the activities of large user populations, which enables developing new networking solutions and services, and scaling up studies across research disciplines. Yet, the disclosure of individual trajectories raises significant privacy concerns:...
The increasing pervasiveness of object tracking technologies leads to huge volumes of spatio-temporal data collected in the form of trajectory streams. The discovery of useful group patterns from moving objects' movement behaviors in trajectory streams is critical for real time applications ranging from transportation management to military surveillance. In this work we propose a novel type of group...
In the paper, an efficient spatial clustering algorithm, the improved DBSCAN (Density Based Spatial Clustering of Applications with Noise), is proposed, for cluster analysis of trajectory points gathered from Digital Movies Mobile Playing Systems(DMSs). By searching the density of points which are greater than a given threshold in rural areas, the density-reachable maximum movie playing clusters are...
This paper presents recent measurements addressing the Doppler spectrum spread issue for land mobile satellite applications. Those measurements are a preliminary step aiming at building a comprehensive database from various scenarios (type of environments, elevation, speed, frequency band, antenna type …) towards a Doppler modelling activity. Preliminary results and first conclusions on Doppler spectrum...
Knowing the future position of a mobile user bring huge benefit to applications in the field of location-based services (LBSs). One of the major advantages is that helps LBSs provide targeted content or disseminate advertisement to mobile users at the right time right place. This research introduces a new technique for forecasting future position. It is based on temporal patterns discovered from the...
This article presents a mobility prediction method for mobile phone users based on an enhanced Markov Chain algorithm. The mobile phone data has a highly dynamic nature and a sparcely sampled aspect; therefore, the prediction of user's mobility location poses a challenge. Our enhancement approach can be summarized as an embedded association of rules applied to a Markov chain algorithm. The proposed...
Parameter tuning is a common issue for many tracking algorithms. In order to solve this problem, this paper proposes an online parameter tuning to adapt a tracking algorithm to various scene contexts. In an offline training phase, this approach learns how to tune the tracker parameters to cope with different contexts. In the online control phase, once the tracking quality is evaluated as not good...
Robots operating in real world environments need to find motion plans quickly. Robot motion should also be efficient and, when operating among people, predictable. Minimizing a cost function, e.g. path length, can produce short, reasonable paths. Anytime planners are ideal for this since they find an initial solution quickly and then improve solution quality as time permits. In previous work, we introduced...
Moving object tracking and status update strategy is one of the most important factors that affect the performance of moving objects databases (MOD). In this paper, based on motion vectors and the characteristics of ship navigation information, we propose an update strategy for the ship navigation moving objects databases. By experiments, we compare the real ship voyage trajectory with the rebuild...
Trajectories play an important role in analyzing the behavior of moving objects. Many researches have been conducted that retrieved similar trajectories of moving objects in Euclidean space rather than in road network space. However, in real applications, most moving objects are located in road network space. In this paper, we investigate the properties of similar trajectories in road network space...
Owing to the advances of computer and communication technologies, clustering analysis on moving objects has attracted increasing attention in recent years. An interesting pattern is to find the moving clusters that are composed of objects moving along for a long period of time. However, a moving cluster inclines to break after some time due to the goal change of some individual objects. In order to...
The uncertainty management problem for moving objects databases has been well studied recently, with many models and algorithms proposed. However, very limited work has dealt with the index of uncertain trajectories for a running moving objects database. In this paper, we propose an index framework, the UTR- Tree, for indexing the full uncertain trajectories of network constrained moving objects....
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.