Mining moving object data

Jaroslav Zendulka, Martin Pešek
2012 Open Computer Science  
AbstractCurrently many devices provide information about moving objects and location-based services that accumulate a huge volume of moving object data, including trajectories. This paper deals with two useful analysis tasks — mining moving object patterns and trajectory outlier detection. We also present our experience with the TOP-EYE trajectory outlier detection algorithm, which we applied to two real-world data sets.
doi:10.2478/s13537-012-0018-4 fatcat:34zz5kewurf43hg2innrcc3xdq