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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jianbing Ma Weiru Liu Miller, P. Weiqi Yan |
| Copyright Year | 2009 |
| Abstract | Demand for bus surveillance is growing due to the increased threats of terrorist attack, vandalism and litigation. However, CCTV systems are traditionally used in forensic mode, precluding an in-time reaction to an event. In this paper, we introduce a real-time event composition framework which can support the instant recognition of emergent events based on uncertain or imperfect information gathered from multiple sources. This framework deploys a rule-based reasoning component that can infer malicious situations (composite events) from a set of correlated atomic events. These are recognized by applying analytic algorithms to the multimedia contents of bus surveillance data. We demonstrate the significance and usefulness of our framework with a case study of an on-going bus surveillance project. |
| Starting Page | 382 |
| Ending Page | 387 |
| File Size | 241707 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424447558 |
| DOI | 10.1109/AVSS.2009.25 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-09-02 |
| Publisher Place | Italy |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Algorithm design and analysis Temperature distribution Event detection Terrorism Forensics Multiple sensor DS theory Intelligent sensors Computer science Temperature sensors Surveillance Event reasoning Cities and towns Bus surveillance |
| Content Type | Text |
| Resource Type | Article |
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