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Volumn 1, Issue , 2009, Pages 566-569

A robust moving objects detection algorithm based on gaussian mixture model

Author keywords

Gaussian mixture model; Moving objects detection; Objects detection algorithm

Indexed keywords

BACKGROUND MODEL; BACKGROUND RECONSTRUCTION; BACKGROUND SUBTRACTION; COMPLEX CONDITION; DYNAMIC LEARNING; FRAME DIFFERENCES; GAUSSIAN MIXTURE MODEL; INTELLIGENT VIDEO SURVEILLANCE; MOVING OBJECTS DETECTION; NOVEL ALGORITHM; OBJECTS DETECTION ALGORITHM; STATIC CAMERAS;

EID: 71049174884     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ITCS.2009.276     Document Type: Conference Paper
Times cited : (10)

References (12)
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  • 7
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    • Background subtraction using incremental subspace learning[C]//
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    • Wang, L.1    Wang, L.2    Wen, M.3
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    • Urban surveillance systems: From the laboratory to commercial world [J]
    • Pavlidis I, Morellas V, Tsiamyrtzis P, et al. Urban surveillance systems: from the laboratory to commercial world [J]. Proceedings of the IEEE (S0018-9219), 2001, 89(10): 1478-1497.
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  • 9
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    • A robust and fast motion segmentation method for video sequences[C]//
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    • Liang Y, Guo S, Wang Z, et al. A robust and fast motion segmentation method for video sequences[C]//International Conference on Automation and Logistics. Jinan, China: IEEE, 2007: 2952-2957
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.