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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Quintero M, C.G. Bertel R, F.A. Maldonado P, D.E. |
| Copyright Year | 2010 |
| Description | Author affiliation: Electrical and Electronic Department, Universidad del Norte, Barranquilla, Colombia (Quintero M, C.G.; Bertel R, F.A.; Maldonado P, D.E.) |
| Abstract | The use of multiagent techniques to support the human activities has been increasing for many years, especially in coordination mechanisms for environments monitoring. Then, we propose a coordination mechanism applied to intelligent surveillance methods. The approach aims to increase the time in which agents are able to ensure intruder's tracking. The coordination is based on information from sensors of each agent, which are evaluated to make a suitable decision to guarantee tracking. Several types of heterogeneous agents are used in this approach: indoor mobile agents, outdoor mobile agents and static agents. With different groups of agents, we compare the intelligent mechanism with a random mechanism to determine the overall system performance. |
| Starting Page | 1 |
| Ending Page | 6 |
| File Size | 1737949 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424467402 |
| e-ISBN | 9781424467426 |
| DOI | 10.1109/ANDESCON.2010.5632845 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-09-15 |
| Publisher Place | Colombia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Tracking Surveillance System performance Artificial Neural Networks Coordination Mobile agents Artificial neural networks Sensors Trajectory Multiagent Systems Distributed Artificial Intelligence |
| Content Type | Text |
| Resource Type | Article |
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