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Physical Sciences and Mathematics Commons

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Social and Behavioral Sciences

The University of Maine

Journal

Trajectories

Publication Year

Articles 1 - 4 of 4

Full-Text Articles in Physical Sciences and Mathematics

Trajectory Data Mining: A Review Of Methods And Applications, Jean Damascène Mazimpaka, Sabine Timpf Dec 2016

Trajectory Data Mining: A Review Of Methods And Applications, Jean Damascène Mazimpaka, Sabine Timpf

Journal of Spatial Information Science

The increasing use of location-aware devices has led to an increasing availability of trajectory data. As a result, researchers devoted their efforts to developing analysis methods including different data mining methods for trajectories. However, the research in this direction has so far produced mostly isolated studies and we still lack an integrated view of problems in applications of trajectory mining that were solved, the methods used to solve them, and applications using the obtained solutions. In this paper, we first discuss generic methods of trajectory mining and the relationships between them. Then, we discuss and classify application problems that were …


Multi-Scale Window Specification Over Streaming Trajectories, Kostas Patroumpas Dec 2013

Multi-Scale Window Specification Over Streaming Trajectories, Kostas Patroumpas

Journal of Spatial Information Science

Enormous amounts of positional information are collected by monitoring applications in domains such as fleet management cargo transport wildlife protection etc. With the advent of modern location-based services processing such data mostly focuses on providing real-time response to a variety of user requests in continuous and scalable fashion. An important class of such queries concerns evolving trajectories that continuously trace the streaming locations of moving objects like GPS-equipped vehicles commodities with RFID's people with smartphones etc. In this work we propose an advanced windowing operator that enables online incremental examination of recent motion paths at multiple resolutions for numerous point …


Semantic Trajectory Compression: Representing Urban Movement In A Nutshell, Kai-Florian Richter, Falko Schmid, Patrick Laube Oct 2012

Semantic Trajectory Compression: Representing Urban Movement In A Nutshell, Kai-Florian Richter, Falko Schmid, Patrick Laube

Journal of Spatial Information Science

There is an increasing number of rapidly growing repositories capturing the movement of people in space-time. Movement trajectory compression becomes an obvious necessity for coping with such growing data volumes. This paper introduces the concept of semantic trajectory compression (STC). STC allows for substantially compressing trajectory data with acceptable information loss. It exploits that human urban mobility typically occurs in transportation networks that define a geographic context for the movement. In STC a semantic representation of the trajectory that consists of reference points localized in a transportation network replaces raw highly redundant position information (e.g. from GPS receivers). An experimental …


Uncertainty-Aware Video Visual Analytics Of Tracked Moving Objects, Markus Höferlin, Benjamin Höferlin, Daniel Weiskopf, Gunther Heidemann Oct 2012

Uncertainty-Aware Video Visual Analytics Of Tracked Moving Objects, Markus Höferlin, Benjamin Höferlin, Daniel Weiskopf, Gunther Heidemann

Journal of Spatial Information Science

Vast amounts of video data render manual video analysis useless while recent automatic video analytics techniques suffer from insufficient performance. To alleviate these issues we present a scalable and reliable approach exploiting the visual analytics methodology. This involves the user in the iterative process of exploration hypotheses generation and their verification. Scalability is achieved by interactive filter definitions on trajectory features extracted by the automatic computer vision stage. We establish the interface between user and machine adopting the VideoPerpetuoGram (VPG) for visualization and enable users to provide filter-based relevance feedback. Additionally users are supported in deriving hypotheses by context-sensitive statistical …