Automation of Tracking Trajectories in a Crowded Situation
Studies on pedestrians using microscopic simulation require large amounts of trajectory data from real-world pedestrian crowds. The collection of such data, if done manually, involves tremendous efforts and is very time-consuming. Although many studies have asserted the possibility of automating thi...
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Main Authors: | , , |
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Format: | text |
Published: |
Archīum Ateneo
2010
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Subjects: | |
Online Access: | https://archium.ateneo.edu/discs-faculty-pubs/199 https://link.springer.com/article/10.1007/s10694-010-0174-9 |
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Institution: | Ateneo De Manila University |