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Volumn 46, Issue 9, 2007, Pages

Robust foreground extraction technique using background subtraction with multiple thresholds

Author keywords

Background subtraction; Foreground segmentation; Silhouette extraction

Indexed keywords

ALGORITHMS; IMAGE CODING; PIXELS; VIDEO STREAMING;

EID: 38849119973     PISSN: 00913286     EISSN: 15602303     Source Type: Journal    
DOI: 10.1117/1.2779022     Document Type: Article
Times cited : (24)

References (20)
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  • 5
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    • Real time detection and recognition of human profiles using inexpensive desktop cameras
    • P. Kumar, K. Sengupta, and S. Ranganath, " Real time detection and recognition of human profiles using inexpensive desktop cameras.," in Proc. ICPR, pp. 1096-1099 (2000).
    • (2000) Proc. ICPR , pp. 1096-1099
    • Kumar, P.1    Sengupta, K.2    Ranganath, S.3
  • 6
    • 33750900933 scopus 로고    scopus 로고
    • Detection and location of people in video images using adaptive fusion of color and edge information
    • S. Jabri, Z. Duric, A. Rosenfeld, and H. Wechsler, " Detection and location of people in video images using adaptive fusion of color and edge information.," in Proc. ICPR, pp. 627-630 (2000).
    • (2000) Proc. ICPR , pp. 627-630
    • Jabri, S.1    Duric, Z.2    Rosenfeld, A.3    Wechsler, H.4
  • 11
    • 0033683184 scopus 로고    scopus 로고
    • A real time system for robust 3D voxel reconstruction of human motions
    • K. M. Cheung, T. Kanade, J. Y. Bouguet, and M. Holler, " A real time system for robust 3D voxel reconstruction of human motions.," in Proc. CVPR, pp. 714-720 (2000).
    • (2000) Proc. CVPR , pp. 714-720
    • Cheung, K.M.1    Kanade, T.2    Bouguet, J.Y.3    Holler, M.4
  • 12
    • 0032634283 scopus 로고    scopus 로고
    • Adaptive background mixture models for real-time tracking
    • C. Stauffer and W. E. L. Grimson, " Adaptive background mixture models for real-time tracking.," in Proc. CVPR, pp. 246-252 (1999).
    • (1999) Proc. CVPR , pp. 246-252
    • Stauffer, C.1    Grimson, W.E.L.2
  • 18
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    • Computer Vision, Prentice Hall, Upper Saddle River, NJ.
    • L. G. Shapiro and G. C. Stockman, Computer Vision, Prentice Hall, Upper Saddle River, NJ (2001).
    • (2001)
    • Shapiro, L.G.1    Stockman, G.C.2
  • 20
    • 40049109654 scopus 로고    scopus 로고
    • Video cliused in Fig.: http://www3dkim.cpm/research/seg/Segmentation0905. wmv.
    • Video clip used in Fig.: http://www3dkim.cpm/research/seg/ Segmentation0905.wmv.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.