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Volumn 6, Issue , 2008, Pages 123-127

A new region Gaussian background model for video surveillance

Author keywords

[No Author keywords available]

Indexed keywords

BACKGROUND MODELS; BACKGROUND PIXELS; BACKGROUND SUBTRACTIONS; GAUSSIAN BACKGROUNDS; GAUSSIAN MODELS; INTELLIGENT VIDEO SURVEILLANCES; REGION LABELING; TARGET RECOGNITIONS; VIDEO IMAGES; VIDEO SURVEILLANCES;

EID: 57649188996     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICNC.2008.626     Document Type: Conference Paper
Times cited : (5)

References (9)
  • 2
    • 33744935019 scopus 로고    scopus 로고
    • Kristensen Fredrik, Nilsson Peter, Owall, Viktor, Background Segmentation Beyond RGB, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Computer Vision - ACCV 2006 - 7th Asian Conference on Computer Vision, Proceedings, Springer Verlag, Heidelberg, Germany, 2006, 3852(1), pp. 602-612.
    • Kristensen Fredrik, Nilsson Peter, Owall, Viktor, "Background Segmentation Beyond RGB", Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Computer Vision - ACCV 2006 - 7th Asian Conference on Computer Vision, Proceedings, Springer Verlag, Heidelberg, Germany, 2006, 3852(1), pp. 602-612.
  • 3
    • 22844451166 scopus 로고    scopus 로고
    • Xiang Shi ming, Chen Rui, Deng Yu, Li Hua, Motion Segmentation via On-line Gaussian Mixture Model and Texture , Journal of Computer Aided Design & Computer Graphics(in Chinese), Institute of Computing Technology, Beijing, China, 2005, 17 (7), pp. 1504-1509.
    • Xiang Shi ming, Chen Rui, Deng Yu, Li Hua, "Motion Segmentation via On-line Gaussian Mixture Model and Texture ", Journal of Computer Aided Design & Computer Graphics(in Chinese), Institute of Computing Technology, Beijing, China, 2005, 17 (7), pp. 1504-1509.
  • 4
    • 33644647821 scopus 로고    scopus 로고
    • A Moving Object Detection Method Based on Self-Adaptive Updating of Background
    • Chinese Institute of Electronics, Beijing, China
    • Wei Zhi qiang, Ji Xiao peng, Feng Ye wei, "A Moving Object Detection Method Based on Self-Adaptive Updating of Background", Chinese Journal of Electronics (in Chinese), Chinese Institute of Electronics, Beijing, China, 2005, 33(12), pp. 2261-2264.
    • (2005) Chinese Journal of Electronics (in Chinese) , vol.33 , Issue.12 , pp. 2261-2264
    • Wei, Z.1    Xiao peng, J.2    Feng, Y.3
  • 6
    • 0033078995 scopus 로고    scopus 로고
    • N. Paragios, G. Tziritas, Adaptive Detection and Localization of Moving Objects in Image Sequences, Signal Processing : Image, Communication, Elsevier Sci B.V., Amsterdam, Netherlands, 1999, 14(4), pp. 277-296.
    • N. Paragios, G. Tziritas, "Adaptive Detection and Localization of Moving Objects in Image Sequences", Signal Processing : Image, Communication, Elsevier Sci B.V., Amsterdam, Netherlands, 1999, 14(4), pp. 277-296.
  • 7
    • 33747849022 scopus 로고    scopus 로고
    • Real-time target detection algorithm under complex open country scene
    • Chinese Academy of Sciences, Chengdu, Sichuan, China, 12
    • Lai Zuo mei, Wang Jing ru, Zhang Qi heng, "Real-time target detection algorithm under complex open country scene", Opto-Electronic Engineerings Chinese), Chinese Academy of Sciences, Chengdu, Sichuan, China, 2006, 33(7), pp 5-8, 12.
    • (2006) Opto-Electronic Engineerings Chinese) , vol.33 , Issue.7 , pp. 5-8
    • Lai, Z.1    Wang, J.2    Zhang, Q.3
  • 8
    • 3042757998 scopus 로고    scopus 로고
    • Automatic Segmentation for Moving Objects in Video Sequences
    • Computer Graphics, Institute of Computing Technology, Beijing, China
    • Yang Li, Zhang Hong, Li Yushan, "Automatic Segmentation for Moving Objects in Video Sequences", Journal of Computer Aided Design & Computer Graphics, Institute of Computing Technology, Beijing, China, 2004, 16(3), pp. 301-306.
    • (2004) Journal of Computer Aided Design & , vol.16 , Issue.3 , pp. 301-306
    • Li, Y.1    Hong, Z.2    Li, Y.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.