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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Brax, C. Niklasson, L. Laxhammar, R. |
| Copyright Year | 2009 |
| Description | Author affiliation: Informatics Research Centre, University of Sküvde, Sweden (Brax, C.; Niklasson, L.; Laxhammar, R.) |
| Abstract | The increased societal need for surveillance and the decrease in cost of sensors have led to a number of new challenges. The problem is not to collect data but to use it effectively for decision support. Manual interpretation of huge amounts of data in real-time is not feasible; the operator of a surveillance system needs support to analyze and understand all incoming data. In this paper an approach to intelligent video surveillance is presented, with emphasis on finding behavioural anomalies. Two different anomaly detection methods are compared and combined. The results show that it is possible to best increase the total detection performance by combining two different anomaly detectors rather than employing them independently. |
| Starting Page | 694 |
| Ending Page | 701 |
| File Size | 625293 |
| Page Count | 8 |
| File Format | |
| ISBN | 9780982443804 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-07-06 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | ISIF |
| Subject Keyword | Video surveillance Cameras Informatics Detection algorithms Costs Sensor fusion Real time systems Detectors Terrorism Explosions behaviour classification anomaly detection classifier fusion CCTV video content analysis |
| Content Type | Text |
| Resource Type | Article |
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