department of Mathematics and Computer Science, Eindhoven University of Technology
Over the past years the availability of devices that can be used to track moving objects has increased dramatically, leading to an explosive growth in movement data. Objects being tracked range from animals and cars, to hurricanes, sports players, and suspected terrorists.
The study of algorithms for the analysis and visualization of movement data is hence a rapidly expanding research area at the intersection of computational geometry and graph drawing, geographic information science, automated cartography, and information visualization. So far research in this area has mainly concentrated on moving point data.
Consequently, some of the basic analysis problems such as determining similarity, segmentation, as well as the detection of movement patterns, are now fairly well understood for trajectories: sequences of time-stamped points.
This talk will discuss some recent results for the (context-aware) analysis of moving point objects. Furthermore, we will describe first results from a recently started project where we aim to go beyond the basic setting, by studying moving complex, non-point objects such as moving polylines (which can e.g. model changing coastlines), polygons (e.g. hurricanes), and geometric networks (e.g. river networks).
When & Where
Data Science Center Eindhoven
The Data Science Center Eindhoven (DSC/e) is TU/e’s response to the growing volume and importance of data. 90% of the data in the world today has been created in the last two years alone and the world's data will grow by 50 times in the next 10 years.
Moreover, human and organizational activities are intertwined with the digital universe. Therefore, data science is growing in importance and becoming an integral part of different types of engineering and scientific research.