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Volumn , Issue , 2011, Pages 314-319

A testing framework for background subtraction algorithms comparison in intrusion detection context

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER HARDWARE DESCRIPTION LANGUAGES; COMPUTER VISION; IMAGE SEGMENTATION; MONITORING; MOTION COMPENSATION; PIXELS; SECURITY SYSTEMS;

EID: 80053938101     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/AVSS.2011.6027343     Document Type: Conference Paper
Times cited : (16)

References (18)
  • 1
    • 0002700065 scopus 로고
    • An error metric for binary images
    • A. Baddeley. An error metric for binary images. Robust Computer Vision, (march 1992):9-11, 1992.
    • (1992) Robust Computer Vision, March , vol.9-11 , pp. 1992
    • Baddeley, A.1
  • 2
    • 72349085421 scopus 로고    scopus 로고
    • Comparative evaluation of stationary foreground object detection algorithms based on background subtraction techniques
    • Sept.
    • A. Bayona, J. SanMiguel, and J. Martinez. Comparative evaluation of stationary foreground object detection algorithms based on background subtraction techniques. Advanced Video and Signal Based Surveillance, pages 25-30, Sept. 2009.
    • (2009) Advanced Video and Signal Based Surveillance , pp. 25-30
    • Bayona, A.1    SanMiguel, J.2    Martinez, J.3
  • 5
    • 0038391438 scopus 로고    scopus 로고
    • Hand gesture recognition using a real-time tracking method and hidden Markov models
    • Aug.
    • F. Chen. Hand gesture recognition using a real-time tracking method and hidden Markov models. Image and Vision Computing, 21(8):745-758, Aug. 2003.
    • (2003) Image and Vision Computing , vol.21 , Issue.8 , pp. 745-758
    • Chen, F.1
  • 6
    • 10444271708 scopus 로고    scopus 로고
    • Robust techniques for background subtraction in urban traffic video
    • S. Cheung and C. Kamath. Robust techniques for background subtraction in urban traffic video. Proceedings of SPIE, 5308:881-892, 2004.
    • (2004) Proceedings of SPIE , vol.5308 , pp. 881-892
    • Cheung, S.1    Kamath, C.2
  • 18
    • 56349105093 scopus 로고    scopus 로고
    • Learning articulated appearance models for tracking humans: A spectral graph matching approach
    • Nov.
    • N. Thome, D. Merad, and S. Miguet. Learning articulated appearance models for tracking humans: A spectral graph matching approach. Signal Processing: Image Communication, 23(10):769-787, Nov. 2008.
    • (2008) Signal Processing: Image Communication , vol.23 , Issue.10 , pp. 769-787
    • Thome, N.1    Merad, D.2    Miguet, S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.