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Volumn , Issue , 2006, Pages

Scalable surveillance software architecture

Author keywords

[No Author keywords available]

Indexed keywords

DISTRIBUTED INFORMATION; IP-BASED CAMERAS; LARGE SCALE SURVEILLANCE;

EID: 34547268983     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/AVSS.2006.101     Document Type: Conference Paper
Times cited : (11)

References (17)
  • 1
    • 35048856632 scopus 로고    scopus 로고
    • Spectral solution of large-scale extrinsic camera calibration as a graph embedding problem
    • M. Brand, M. Antone, and S. Teller. Spectral solution of large-scale extrinsic camera calibration as a graph embedding problem. In European Conference on Computer Vision, pages 262-273, 2004.
    • (2004) European Conference on Computer Vision , pp. 262-273
    • Brand, M.1    Antone, M.2    Teller, S.3
  • 11
    • 0022735890 scopus 로고
    • AI Magazine(in 2 parts)
    • 72 and 3, and
    • H. P. Nii. Blackboard systems. AI Magazine(in 2 parts), 7(2 and 3):38-53 and 82-106, 1986.
    • (1986)
    • Nii, H.P.1
  • 12
    • 0001956194 scopus 로고
    • Foundations for the study of software architecture
    • D. Perry and A. Wolf. Foundations for the study of software architecture. ACM SIGSOFT Software Engineering Notes, 17(4):40-52, 1992.
    • (1992) ACM SIGSOFT Software Engineering Notes , vol.17 , Issue.4 , pp. 40-52
    • Perry, D.1    Wolf, A.2
  • 13
    • 67650349273 scopus 로고    scopus 로고
    • Scanning the issue/technology: Special issue on video communications, processing and understanding for third generation surveillance systems
    • C. Regazzoni, V. Ramesh, and G. Foresti. Scanning the issue/technology: Special issue on video communications, processing and understanding for third generation surveillance systems. Proc, of the IEEE, 89(10):1355-1366, 2001.
    • (2001) Proc, of the IEEE , vol.89 , Issue.10 , pp. 1355-1366
    • Regazzoni, C.1    Ramesh, V.2    Foresti, G.3
  • 14
    • 35348879686 scopus 로고    scopus 로고
    • C. Stauffer. Learning to track objects through unobserved regions. In IEEE Computer Society Workshop on Motion and Video Computing, pages II: 96-102, 2005.
    • C. Stauffer. Learning to track objects through unobserved regions. In IEEE Computer Society Workshop on Motion and Video Computing, pages II: 96-102, 2005.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.