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A Surveillance Algorithm Selection Method Based on Video Features for Large-scale Integrated Surveillance Systems  

Park, Kwang-Young (서울과학기술대학교 IT정책전문대학원, (주)하이트론씨스템즈 정보통신사업본부 사업총괄팀)
Park, Goo-Man (서울과학기술대학교 전자IT미디어공학과)
Publication Information
Journal of Satellite, Information and Communications / v.7, no.1, 2012 , pp. 33-38 More about this Journal
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.
Keywords
Integrated Surveillance System; Video Analytics; Event processing scenario;
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Times Cited By KSCI : 1  (Citation Analysis)
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1 전지혜, 안태기, 박광영, 박구만, "지능형 영상 분석 소프트웨어를 탑재한 종합 감시 시스템 현장 구축에 관한 사례 연구", 한국인터넷방송통신학회논문지, 제11권, 제6호, pp.255-260, 2011년. 12월.
2 Kwang-Young Park, Goo-Man Park, "Analysis of Urban Transit Environment for Video Analytics and Processing Scenarios," International Journal of Security and Its Applications, Vol.6, No.2, pp.427-430, April, 2012.
3 장일식, 박종화, 김주선, 김형민, 박구만, "도시철도 지능형 카메라에 요구되는 성능 및 관련기술 연구", 한국철도학회 2008추계학술대회논문집, pp.1151-1156, 2008년 11월.
4 장일식, 정철준, 김형민, 안태기, 박구만, "도시철도 환경에 적합한 지능형 감시카메라 시나리오의 연구,"한국철도학회 2009년 춘계학술대회논문집, pp.866-871, 2009년5월.
5 B. Ugur Toreyin, Yigithan Dedeoglu, Ugur Gudukbay and A. Enins Cetin, "Computer Vision based Method for Real-time Fire and Flame Detection," Pattern Recognition Letters, vol. 27, pp. 49-58, 2006.   DOI
6 Chun-Hung Shen, Chen, H.H., ""Robust Focus Measure for Low-Contrast Images," Consumer Electronics, 2006., ICCE '06, pp.69-70, Jan. 2006.
7 Marana, A.N., Da Fontoura Costa, L., Lotufo, R.A., Velastin, S.A., "Estimating Crowd Density with Minkowski Fractal Dimension," Proc of International Conference on Acoustics, Speech, and Signal Processing, pp.3521-3524, 1999.
8 Wei Li, "Crowd Density Estimation : An Improved Approach", IEEE 10th International Conference on Signal Processing, pp.1213- 1216, 2010.
9 Yilmaz, A., Javed, O., and Shah, M. (2006), "Object tracking: A survey", ACM Computing Surveys, 38, 4, Article 13, 45 pages