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|Title:||Analyzing abnormal events from spatio-temporal trajectories|
|Authors:||Patel, D. |
|Source:||Patel, D., Bhatt, C., Hsu, W., Lee, M.L., Kankanhalli, M. (2009). Analyzing abnormal events from spatio-temporal trajectories. ICDM Workshops 2009 - IEEE International Conference on Data Mining : 616-621. ScholarBank@NUS Repository. https://doi.org/10.1109/ICDMW.2009.45|
|Abstract:||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. © 2009 IEEE.|
|Source Title:||ICDM Workshops 2009 - IEEE International Conference on Data Mining|
|Appears in Collections:||Staff Publications|
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