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Volumn 9386, Issue , 2015, Pages 130-141

EFIC: Edge based foreground background segmentation and interior classification for dynamic camera viewpoints

Author keywords

Camera motion; Foreground background segmentation; Moving edges; Optical flow

Indexed keywords

ALGORITHMS; IMAGE SEGMENTATION; OPTICAL FLOWS;

EID: 84949210961     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-25903-1_12     Document Type: Chapter
Times cited : (45)

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  • 4
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    • Cristani, M.1    Farenzena, M.2    Bloisi, D.3    Murino, V.4
  • 6
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    • Two-frame motion estimation based on polynomial expansion
    • Farnebäck, G., In: Bigun, J., Gustavsson, T. (eds.), Springer, Heidelberg
    • Farnebäck, G.: Two-frame motion estimation based on polynomial expansion. In: Bigun, J., Gustavsson, T. (eds.) SCIA 2003. LNCS, vol. 2749, pp. 363–370. Springer, Heidelberg (2003)
    • (2003) SCIA 2003. LNCS , vol.2749 , pp. 363-370
  • 10
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    • Optical flow modeling and computation: A survey
    • image Understanding for Real-world Distributed Video Networks
    • Fortun, D., Bouthemy, P., Kervrann, C.: Optical flow modeling and computation: A survey. Computer Vision and Image Understanding 134(0), 1–21 (2015). image Understanding for Real-world Distributed Video Networks
    • (2015) Computer Vision and Image Understanding , vol.134 , pp. 1-21
    • Fortun, D.1    Bouthemy, P.2    Kervrann, C.3
  • 14
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    • Subsense: A universal change detection method with local adaptive sensitivity
    • St-Charles, P.L., Bilodeau, G.A., Bergevin, R.: Subsense: A universal change detection method with local adaptive sensitivity. IEEE Transactions on Image Processing 24(1), 359–373 (2015)
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    • St-Charles, P.L.1    Bilodeau, G.A.2    Bergevin, R.3
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    • Adaptive background mixture models for real-time tracking
    • Stauffer, C., Grimson, W.E.L.: Adaptive background mixture models for real-time tracking. In: CVPR, pp. 2246–2252 (1999)
    • (1999) CVPR , pp. 2246-2252
    • Stauffer, C.1    Grimson, W.E.L.2
  • 16
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    • Enhanced local texture feature sets for face recognition under difficult lighting conditions
    • Tan, X., Triggs, B.: Enhanced local texture feature sets for face recognition under difficult lighting conditions. IEEE Transactions on Image Processing 19(6), 1635–1650 (2010)
    • (2010) IEEE Transactions on Image Processing , vol.19 , Issue.6 , pp. 1635-1650
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.