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Volumn , Issue , 2011, Pages 534-540

Detection of static objects for the task of video surveillance

Author keywords

[No Author keywords available]

Indexed keywords

BACKGROUND MODEL; BACKGROUND SUBTRACTION; DATA SETS; FINITE STATE MACHINES; FLEXIBLE SYSTEM; LEARNING RATES; MIXTURES OF GAUSSIANS; REAL-LIFE APPLICATIONS; STATE MACHINE; STATIC OBJECTS; SURVEILLANCE APPLICATIONS; VIDEO SEQUENCES; VIDEO SURVEILLANCE;

EID: 79952527117     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WACV.2011.5711550     Document Type: Conference Paper
Times cited : (28)

References (11)
  • 5
    • 36949010593 scopus 로고    scopus 로고
    • Robust abandoned object detection using dual foregrounds
    • F. Porikli, Y. Ivanov, and T. Haga. Robust abandoned object detection using dual foregrounds. EURASIP J. Adv. Signal Process, 2008:30, 2008.
    • (2008) EURASIP J. Adv. Signal Process , vol.2008 , pp. 30
    • Porikli, F.1    Ivanov, Y.2    Haga, T.3
  • 11
    • 33644870377 scopus 로고    scopus 로고
    • Efficient adaptive density estimation per image pixel for the task of background subtraction
    • DOI 10.1016/j.patrec.2005.11.005, PII S0167865505003521
    • Zivkovic and van der Heijden. Efficient adaptive density estimation per image pixel for the task of background subtraction. Pattern Recognition Letters, 27:773-780, 2006. (Pubitemid 43374860)
    • (2006) Pattern Recognition Letters , vol.27 , Issue.7 , pp. 773-780
    • Zivkovic, Z.1    Van Der Heijden, F.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.