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Volumn 4843 LNCS, Issue PART 1, 2007, Pages 251-260

Improved background mixture models for video surveillance applications

Author keywords

[No Author keywords available]

Indexed keywords

GAUSSIAN DISTRIBUTION; IMAGE MATCHING; MATHEMATICAL MODELS;

EID: 38149076034     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-76386-4_23     Document Type: Conference Paper
Times cited : (9)

References (11)
  • 2
    • 33749600734 scopus 로고    scopus 로고
    • Performance Characterization for Gaussian Mixture Model Based Motion Detection Algorithms
    • IEEE Computer Society Press, Los Alamitos
    • Wu, J., Trivedi, M.: Performance Characterization for Gaussian Mixture Model Based Motion Detection Algorithms. In: Proceedings of the IEEE International Conference on Image Processing, pp. 97-100. IEEE Computer Society Press, Los Alamitos (2005)
    • (2005) Proceedings of the IEEE International Conference on Image Processing , pp. 97-100
    • Wu, J.1    Trivedi, M.2
  • 5
    • 35048845530 scopus 로고    scopus 로고
    • Online Adaptive Gaussian Mixture Learning for Video Applications. Statistical Methods in Video Processing
    • Lee, D.: Online Adaptive Gaussian Mixture Learning for Video Applications. Statistical Methods in Video Processing. LNCS, pp. 105-116 (2004)
    • (2004) LNCS , pp. 105-116
    • Lee, D.1
  • 6
    • 33847294710 scopus 로고    scopus 로고
    • An Adaptive Mixture Gaussian Background Model with Online Background Reconstruction and Adjustable Foreground Mergence Time for Motion Segmentation
    • IEEE Computer Society Press, Los Alamitos
    • Zhang, Y., Liang, Z., Hou, Z., Wang, H., Tan, M.: An Adaptive Mixture Gaussian Background Model with Online Background Reconstruction and Adjustable Foreground Mergence Time for Motion Segmentation. In: Proceedings of the IEEE International Conference on Industrial Technology, pp. 23-27. IEEE Computer Society Press, Los Alamitos (2005)
    • (2005) Proceedings of the IEEE International Conference on Industrial Technology , pp. 23-27
    • Zhang, Y.1    Liang, Z.2    Hou, Z.3    Wang, H.4    Tan, M.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.