منابع مشابه
Semantic Understanding of Spatial Trajectories
The advances in location-acquisition technologies and the prevalence of locationbased services have generated massive spatial trajectory data, which represent the mobility of a diversity of moving objects, such as people, vehicles, and animals. Such trajectories offer us unprecedented information to understand moving objects and locations that could benefit a broad range of applications. These ...
متن کاملSemantic Trajectories : Computing and Understanding Mobility Data
Thanks to the rapid development of mobile sensing technologies (like GPS, GSM, RFID, accelerometer, gyroscope, sound and other sensors in smartphones), the largescale capture of evolving positioning data (called mobility data or trajectories) generated by moving objects with embedded sensors has become easily feasible, both technically and economically. We have already entered a world full of t...
متن کاملSemantic Trajectories in Mobile Workforce Management Applications
As a consequence of the competition between different manufacturers, current smartphones improve their features continuously and they currently include many sensors. Mobile Workforce Management (MWM) is an industrial process that would benefit highly from the information captured by the sensors of mobile devices. However, there are some problems that prevent MWM software from using this informa...
متن کاملSemantic segmentation of trajectories with agent models
In many cases, such as trajectories clustering and classification, we often divide a trajectory into segments as preprocessing. In this paper, we propose a trajectory semantic segmentation method based on learned behavior models. In the proposed method, we learn some behavior models from video sequences. Next, using learned behavior models and a hidden Markov model, we segment a trajectory into...
متن کاملWRAST: Warehousing Relatedness-Aware Semantic Trajectories
This work introduces methodologies for extending the modelling and querying capabilities of Trajectories Data Warehouses (TDW) in the context of semantic trajectories. Specifically, we incorporate the notion of Semantic Relatedness (SR) as part of the formal model of a TDW, which enables capturing the similarity between different annotations describing Points of Interest (POI), locations and ac...
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ژورنال
عنوان ژورنال: ACM Transactions on Intelligent Systems and Technology
سال: 2013
ISSN: 2157-6904,2157-6912
DOI: 10.1145/2483669.2483682