Analyzing Abnormal Events from Spatio-Temporal Trajectories

被引：3

作者：

Patel, Dhaval ^{[1
]}

Bhatt, Chidansh ^{[1
]}

Hsu, Wynne ^{[1
]}

Lee, Mong Li ^{[1
]}

Kankanhalli, Mohan ^{[1
]}

机构：

[1] Natl Univ Singapore, Sch Comp, Singapore 117548, Singapore

来源：

2009 IEEE INTERNATIONAL CONFERENCE ON DATA MINING WORKSHOPS (ICDMW 2009) | 2009年

关键词：

representation scheme; trajectory classification; abnormal events;

D O I：

10.1109/ICDMW.2009.45

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：616 / 621

页数：6

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