KAUST DepartmentComputer Science Program
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Visual Computing Center (VCC)
Online Publication Date2016-08-08
Print Publication Date2015
Permanent link to this recordhttp://hdl.handle.net/10754/622504
MetadataShow full item record
AbstractWe present a new algorithm for measuring the similarity between trajectories, and in particular between GPS traces. We call this new similarity measure the Merge Distance (MD). Our approach is robust against subsampling and supersampling. We perform experiments to compare this new similarity measure with the two main approaches that have been used so far: Dynamic Time Warping (DTW) and the Euclidean distance. © 2015 ACM.
CitationIsmail A, Vigneron A (2015) A New Trajectory Similarity Measure for GPS Data. Proceedings of the 6th ACM SIGSPATIAL International Workshop on GeoStreaming - IWGS’15. Available: http://dx.doi.org/10.1145/2833165.2833173.
SponsorsAnas Ismail was supported by KAUST base funding
Conference/Event name6th ACM SIGSPATIAL International Workshop on GeoStreaming, IWGS 2015