Simplification and Detection of Outlying Trajectories from Batch and Streaming Data Recorded in Harsh Environments
Iq Reviessay Pulshashi, Hyerim Bae, Hyunsuk Choi, Seung-Hwan Mun, Riska Asriana Sutrisnowati · ISPRS International Journal of Geo-Information · 2019
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.