대규모 종합감시시스템 환경에서의 비디오의 특징분석 기반 감시 알고리즘 선택 기법

Translated title of the contribution: A Surveillance Algorithm Selection Method Based on Video Features for Large-scale Integrated Surveillance Systems

Research output: Contribution to journalArticlepeer-review

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.
Translated title of the contributionA Surveillance Algorithm Selection Method Based on Video Features for Large-scale Integrated Surveillance Systems
Original languageKorean
Pages (from-to)33-38
Number of pages6
Journal통신위성우주산업연구회논문지
Volume7
Issue number1
StatePublished - 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