%0 Journal Article
%T Simplification and Detection of Outlying Trajectories from Batch and Streaming Data Recorded in Harsh Environments
%A Hyerim Bae
%A Hyunsuk Choi
%A Iq Reviessay Pulshashi
%A Riska Asriana Sutrisnowati
%A Seunghwan Mun
%J ISPRS International Journal of Geo-Information | An Open Access Journal from MDPI
%D 2019
%R https://doi.org/10.3390/ijgi8060272
%X Analysis of trajectory such as detection of an outlying trajectory can produce inaccurate results due to the existence of noise, an outlying point-locations that can change statistical properties of the trajectory. Some trajectories with noise are repairable by noise filtering or by trajectory-simplification. We herein propose the application of a trajectory-simplification approach in both batch and streaming environments, followed by benchmarking of various outlier-detection algorithms for detection of outlying trajectories from among simplified trajectories. Experimental evaluation in a case study using real-world trajectories from a shipyard in South Korea shows the benefit of the new approach. View Full-Tex
%U https://www.mdpi.com/2220-9964/8/6/272