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http://dx.doi.org/10.12815/kits.2017.16.6.01

An Algorithm of Identifying Roaming Pedestrians' Trajectories using LiDAR Sensor  

Jeong, Eunbi (Transport Systems Research Team, Korea Railroad Research Institute)
You, So-Young (Transport Systems Research Team, Korea Railroad Research Institute)
Publication Information
The Journal of The Korea Institute of Intelligent Transport Systems / v.16, no.6, 2017 , pp. 1-15 More about this Journal
Abstract
Recently terrorism targets unspecified masses and causes massive destruction, which is so-called Super Terrorism. Many countries have tried hard to protect their citizens with various preparation and safety net. With inexpensive and advanced technologies of sensors, the surveillance systems have been paid attention, but few studies associated with the classification of the pedestrians' trajectories and the difference among themselves have attempted. Therefore, we collected individual trajectories at Samseoung Station using an analytical solution (system) of pedestrian trajectory by LiDAR sensor. Based on the collected trajectory data, a comprehensive framework of classifying the types of pedestrians' trajectories has been developed with data normalization and "trajectory association rule-based algorithm." As a result, trajectories with low similarity within the very same cluster is possibly detected.
Keywords
Trajectory; Data Mining; Pattern Analysis; Data Normalization; LiDAR Sensor;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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