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2009 IEEE International Conference on Data Mining Workshops
Analyzing Abnormal Events from Spatio-temporal Trajectories
Miami, Florida, USA
December 06-December 06
ISBN: 978-0-7695-3902-7
ASCII Text
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Dhaval Patel, Chidansh Bhatt, Wynne Hsu, Mong Li Lee, Mohan Kankanhalli, "Analyzing Abnormal Events from Spatio-temporal Trajectories," Data Mining Workshops, International Conference on, pp. 616-621, 2009 IEEE International Conference on Data Mining Workshops, 2009.
 
 
BibTex
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@article{ 10.1109/ICDMW.2009.45,
author = {Dhaval Patel and Chidansh Bhatt and Wynne Hsu and Mong Li Lee and Mohan Kankanhalli},
title = {Analyzing Abnormal Events from Spatio-temporal Trajectories},
journal ={Data Mining Workshops, International Conference on},
volume = {0},
year = {2009},
isbn = {978-0-7695-3902-7},
pages = {616-621},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICDMW.2009.45},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Data Mining Workshops, International Conference on
TI - Analyzing Abnormal Events from Spatio-temporal Trajectories
SN - 978-0-7695-3902-7
SP616
EP621
A1 - Dhaval Patel,
A1 - Chidansh Bhatt,
A1 - Wynne Hsu,
A1 - Mong Li Lee,
A1 - Mohan Kankanhalli,
PY - 2009
VL - 0
JA - Data Mining Workshops, International Conference on
ER -
 
Advances in RFID based sensor technologies has been used in applications which requires the tracking of assets, products and individuals. The recording of such movements is captured in a trajectory database and can be analyzed for the monitoring of abnormal events. In this paper, we describe a system called InViTA for analyzing abnormal events from spatio-temporal trajectories captured during an office evacuation after an explosion. InViTA utilizes a trajectory representation scheme and extract the features to derive a set of rules that label each person's trajectory as belonging to a suspect, witness, or victim, etc. We run the system on the office evacuation data provided in VAST 2008 challenge and obtain comparable results with that obtained from visualization and human analysis. The system includes a user-friendly graphical interface for parameter tuning and intuitive result analysis.
Citation:
Dhaval Patel, Chidansh Bhatt, Wynne Hsu, Mong Li Lee, Mohan Kankanhalli, "Analyzing Abnormal Events from Spatio-temporal Trajectories," icdmw, pp.616-621, 2009 IEEE International Conference on Data Mining Workshops, 2009
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