Name
Abstract | ||
|---|---|---|
The paper introduces a video surveillance and event detection framework and application for semi-supervised surveillance use. The system’s intended use is in automatic mode on camera feeds that are not actively watched by surveillance personnel, and should raise alarms whenunusual events occur. We present the current detectorfilters, and the extendable modular interface. Filters include local and global unusual motion detectors,left/stolen object detector, motion detector, tampering/failure detector, etc. The system stores the events and associated data, which can be organized, searched, annotated and (re)viewed. It has been tested in real life situation for police street surveillance. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/AVSS.2009.36 | AVSS |
Keywords | Field | DocType |
global unusual motion detector,police street surveillance,video surveillance,system store,digital video event detector,surveillance personnel,failure detector,surveillance applications,stolen object detector,motion detector,semi-supervised surveillance use,alarms whenunusual event,real time systems,pixel,detectors,data mining | Failure detector,Object detection,Computer vision,Digital video,Computer science,Motion detector,Artificial intelligence,Pixel,Modular design,Detector | Conference |
Citations | PageRank | References |
1 | 0.46 | 13 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Levente Kovacs | 1 | 29 | 2.49 |
| Ákos Utasi | 2 | 49 | 6.40 |
| Zoltán Szlavik | 3 | 1 | 0.46 |
| László Havasi | 4 | 16 | 5.34 |
| István Petras | 5 | 1 | 0.46 |
| Sziranyi, T. | 6 | 395 | 44.76 |