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...
Saved in:
Main Authors: | Saadat, Saman, Teknomo, Kardi, Fernandez, Proceso L, Jr |
---|---|
Format: | text |
Published: |
Archīum Ateneo
2010
|
Subjects: | |
Online Access: | https://archium.ateneo.edu/discs-faculty-pubs/199 https://link.springer.com/article/10.1007/s10694-010-0174-9 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Ateneo De Manila University |
Similar Items
-
Automation of pedestrian tracking in a crowded situation using an angled uncalibrated camera
by: SAMAN, SAADAT
Published: (2011) -
Privacy preserving video surveillance using pedestrian tracking mechanism
by: Zhang, P., et al.
Published: (2013) -
SparseTrack: Enhancing indoor pedestrian tracking with sparse infrastructure support
by: Jin, Y., et al.
Published: (2014) -
Automated pedestrian detection using stereo images from two convergent cameras
by: SOVANNARITH, HENG
Published: (2010) -
Trajectory-based ball detection and tracking in broadcast soccer video
by: Yu, X., et al.
Published: (2013)