Abstract
In this paper we proposed an algorithm selection method based on the features of video inputs which are acquired from the large scale integrated surveillance system. The example of integrated surveillance system is the metro railway system.
Automated surveillance system at large area saves the human resource and minimizes the non-observing spots. We have analyzed the input video under this system in order to apply adequate video analytics algorithms in each installing places and for each situation. Based on the analysis, we suggested event processing scenarios and video analytic algorithm selection.
Automated surveillance system at large area saves the human resource and minimizes the non-observing spots. We have analyzed the input video under this system in order to apply adequate video analytics algorithms in each installing places and for each situation. Based on the analysis, we suggested event processing scenarios and video analytic algorithm selection.
| Translated title of the contribution | A Surveillance Algorithm Selection Method Based on Video Features for Large-scale Integrated Surveillance Systems |
|---|---|
| Original language | Korean |
| Pages (from-to) | 33-38 |
| Number of pages | 6 |
| Journal | 통신위성우주산업연구회논문지 |
| Volume | 7 |
| Issue number | 1 |
| State | Published - Jun 2012 |
Fingerprint
Dive into the research topics of 'A Surveillance Algorithm Selection Method Based on Video Features for Large-scale Integrated Surveillance Systems'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver