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SeTraStream: Semantic-Aware Trajectory Construction over Streaming Movement Data

Related publications (33)

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Apartment Structure Estimation Using Fully Convolutional Networks and Graph Model

Jing Zhang

Apartment searching has been a hot demand all over the world. Understanding the apartment structure will significantly contribute to simplifying the searching process. In this project, the fully convolutional networks are applied to generate semantic segme ...

ASSOC COMPUTING MACHINERY2018

Flight Dynamics-based Recovery of a UAV Trajectory using Ground Cameras

Pascal Fua, Artem Rozantsev, Sudipta Sinha

We propose a new method to estimate the 6-dof trajectory of a flying object such as a quadrotor UAV within a 3D airspace monitored using multiple fixed ground cameras. It is based on a new structure from motion formulation for the 3D reconstruction of a si ...

Ieee2017

Learning Aerial Image Segmentation from Online Maps

Martin Jaggi, Jan Dirk Wegner, Aurélien Lucchi, Thomas Hofmann

This study deals with semantic segmentation of high-resolution (aerial) images where a semantic class label is assigned to each pixel via supervised classification as a basis for automatic map generation. Recently, deep convolutional neural networks (CNNs) ...

Institute of Electrical and Electronics Engineers2017

Combine and Conquer

Vincent Etter

In this thesis, we explore the application of data mining and machine learning techniques to several practical problems. These problems have roots in various fields such as social science, economics, and political science. We show that computer science tec ...

EPFL2015

Automated analysis of product related data generated from PLM ontology

Ana Milicic

In recent years, ontology for the Product Lifecycle Management domain has raised a lot of interest in research communities, both academic and industrial. It has emerged as a convenient method for supporting the concept of closed lifecycle information loop, ...

EPFL2015

Mining, Modeling and Predicting Mobility

Mohamed Kafsi

Mobility is a central aspect of our life, and our movements reveal much more about us than simply our whereabouts. In this thesis, we are interested in mobility and study it from three different perspectives: the modeling perspective, the information-theor ...

EPFL2015

Spatial properties of non-retinotopic reference frames in human vision

Michael Herzog

Many visual attributes of a target stimulus are computed according to dynamic, non-retinotopic reference frames. For example, the motion trajectory of a reflector on a bicycle wheel is perceived as orbital, even though it is in fact cycloidal in retinal, a ...

Elsevier2015

Nonadiabatic Molecular Dynamics Based on Trajectories

Ivano Tavernelli, Basile Curchod, Marine Eva Fedora Bouduban

Performing molecular dynamics in electronically excited states requires the inclusion of nonadiabatic effects to properly describe phenomena beyond the Born-Oppenheimer approximation. This article provides a survey of selected nonadiabatic methods based on ...

MDPI AG2014

Semantic Trajectories Modeling and Analysis

Stefano Spaccapietra, Christine Parent, Zhixian Yan, Maria Luisa Damiani, José Antonio Fernandes de Macedo

Focus on movement data has increased as a consequence of the larger availability of such data due to current GPS, GSM, RFID, and sensors techniques. In parallel, interest in movement has shifted from raw movement data analysis to more application-oriented ...

Assoc Computing Machinery2013

Semantic Trajectories

Zhixian Yan

Thanks to the rapid development of mobile sensing technologies (like GPS, GSM, RFID, accelerometer, gyroscope, sound and other sensors in smartphones), the large-scale capture of evolving positioning data (called mobility data or trajectories) generated by ...

EPFL2011