Algorithms for Smart Video Surveillance
Moving Object Detection, Tracking and Classification
The advance in computing power, availability of large- capacity storage devices and high speed network infrastructure paved the way for cheaper, multi sensor video surveillance systems. Traditionally, the video outputs are processed online by human operators and are usually saved to tapes for later use only after a forensic event. The increase in the number of cameras in ordinary surveillance systems overloaded both the human operators and the storage devices with high volumes of data and made it infeasible to ensure proper monitoring of sensitive areas for long times. In order to filter out redundant information generated by an a…
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Produktdetails
- ISBN: 978-3-8383-9295-0
- EAN: 9783838392950
- Produktnummer: 37659613
- Verlag: LAP Lambert Academic Publishing
- Sprache: Englisch
- Erscheinungsjahr: 2010
- Seitenangabe: 108 S.
- Masse: H22.0 cm x B15.0 cm x D0.6 cm 179 g
- Abbildungen: Paperback
- Gewicht: 179
Über den Autor
Yigithan Dedeoglu is a Turkish software development engineer and researcher. His research interests include computer vision and computer graphics. As a software developer & researcher he worked for companies including Microsoft, Synectics, Honeywell, Novar. He has published several papers and contributed to computer vision books.
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