메뉴 건너뛰기




Volumn , Issue , 2014, Pages 509-515

Improving background subtraction using Local Binary Similarity Patterns

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SCIENCE; COMPUTERS;

EID: 84904624404     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WACV.2014.6836059     Document Type: Conference Paper
Times cited : (174)

References (30)
  • 1
    • 79957497122 scopus 로고    scopus 로고
    • Vibe: A universal background subtraction algorithm for video sequences. Image Processing
    • O. Barnich and M. Van Droogenbroeck. Vibe: A universal background subtraction algorithm for video sequences. Image Processing, IEEE Transactions on, 20(6):1709-1724, 2011
    • (2011) IEEE Transactions on , vol.20 , Issue.6 , pp. 1709-1724
    • Barnich, O.1    Van Droogenbroeck, M.2
  • 4
    • 34249105516 scopus 로고    scopus 로고
    • Efficient hierarchical method for background subtraction
    • Y.-T. Chen, C.-S. Chen, C.-R. Huang, and Y.-P. Hung. Efficient hierarchical method for background subtraction. Pattern Recognition, 40(10):2706-2715, 2007
    • (2007) Pattern Recognition , vol.40 , Issue.10 , pp. 2706-2715
    • Chen, Y.-T.1    Chen, C.-S.2    Huang, C.-R.3    Hung, Y.-P.4
  • 5
    • 84864987290 scopus 로고    scopus 로고
    • Background subtraction: Experiments and improvements for vibe
    • IEEE 2012
    • M. V. Droogenbroeck and O. Paquot. Background subtraction: Experiments and improvements for vibe. In CVPR Workshops 2012, pages 32-37. IEEE, 2012
    • (2012) CVPR Workshops , pp. 32-37
    • Droogenbroeck, M.V.1    Paquot, O.2
  • 7
    • 84865036551 scopus 로고    scopus 로고
    • Changedetection.net: A new change detection benchmark dataset
    • N. Goyette, P. Jodoin, F. Porikli, J. Konrad, and P. Ishwar. Changedetection.net: A new change detection benchmark dataset. In CVPR Workshops 2012, pages 1-8, 2012
    • (2012) CVPR Workshops , Issue.2012 , pp. 1-8
    • Goyette, N.1    Jodoin, P.2    Porikli, F.3    Konrad, J.4    Ishwar, P.5
  • 8
    • 33144466752 scopus 로고    scopus 로고
    • A texture-based method for modeling the background and detecting moving objects. Pattern Analysis and Machine Intelligence
    • M. Heikkila and M. Pietikainen. A texture-based method for modeling the background and detecting moving objects. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 28(4):657-662, 2006
    • (2006) IEEE Transactions on , vol.28 , Issue.4 , pp. 657-662
    • Heikkila, M.1    Pietikainen, M.2
  • 9
    • 84865029463 scopus 로고    scopus 로고
    • Background segmentation with feedback: The pixel-based adaptive segmenter
    • 2012
    • M. Hofmann, P. Tiefenbacher, and G. Rigoll. Background segmentation with feedback: The pixel-based adaptive segmenter. In CVPR Workshops 2012, pages 38-43, 2012
    • (2012) CVPR Workshops , pp. 38-43
    • Hofmann, M.1    Tiefenbacher, P.2    Rigoll, G.3
  • 10
    • 34247333309 scopus 로고    scopus 로고
    • Region-level motionbased background modeling and subtraction using mrfs. Image Processing
    • S.-S. Huang, L.-C. Fu, and P.-Y. Hsiao. Region-level motionbased background modeling and subtraction using mrfs. Image Processing, IEEE Transactions on, 16(5):1446-1456, 2007
    • (2007) IEEE Transactions on , vol.16 , Issue.5 , pp. 1446-1456
    • Huang, S.-S.1    Fu, L.-C.2    Hsiao, P.-Y.3
  • 12
    • 84884551613 scopus 로고    scopus 로고
    • An improved adaptive background mixture model for real-Time tracking with shadow detection
    • P. Remagnino, G. Jones, N. Paragios, and C. Regazzoni, editors Springer US
    • P. Kaewtrakulpong and R. Bowden. An improved adaptive background mixture model for real-Time tracking with shadow detection. In P. Remagnino, G. Jones, N. Paragios, and C. Regazzoni, editors, Video-Based Surveillance Systems, pages 135-144. Springer US, 2002
    • (2002) Video-Based Surveillance Systems , pp. 135-144
    • Kaewtrakulpong, P.1    Bowden, R.2
  • 13
    • 84862968684 scopus 로고    scopus 로고
    • Background subtraction for dynamic texture scenes using fuzzy color histograms
    • W. Kim and C. Kim. Background subtraction for dynamic texture scenes using fuzzy color histograms. Signal Processing Letters, IEEE, 19(3):127-130, 2012
    • (2012) Signal Processing Letters IEEE , vol.19 , Issue.3 , pp. 127-130
    • Kim, W.1    Kim, C.2
  • 14
    • 77956001016 scopus 로고    scopus 로고
    • Modeling pixel process with scale invariant local patterns for background subtraction in complex scenes
    • S. Liao, G. Zhao, V. Kellokumpu, M. Pietikainen, and S. Li. Modeling pixel process with scale invariant local patterns for background subtraction in complex scenes. In CVPR 2010, pages 1301-1306, 2010
    • (2010) CVPR 2010 , pp. 1301-1306
    • Liao, S.1    Zhao, G.2    Kellokumpu, V.3    Pietikainen, M.4    Li., S.5
  • 15
    • 45949086871 scopus 로고    scopus 로고
    • A self-organizing approach to background subtraction for visual surveillance applications
    • July
    • L. Maddalena and A. Petrosino. A self-organizing approach to background subtraction for visual surveillance applications. Trans. Img. Proc., 17(7):1168-1177, July 2008
    • (2008) Trans. Img. Proc , vol.17 , Issue.7 , pp. 1168-1177
    • Maddalena, L.1    Petrosino, A.2
  • 16
    • 84864980997 scopus 로고    scopus 로고
    • The sobs algorithm: What are the limits?
    • L. Maddalena and A. Petrosino. The sobs algorithm: What are the limits? In CVPR Workshops 2012, pages 21-26, 2012
    • (2012) CVPR Workshops 2012 , pp. 21-26
    • Maddalena, L.1    Petrosino, A.2
  • 17
    • 5044221727 scopus 로고    scopus 로고
    • Motion-based background subtraction using adaptive kernel density estimation
    • II-302-II-309 2
    • A. Mittal and N. Paragios. Motion-based background subtraction using adaptive kernel density estimation. In CVPR 2004, volume 2, pages II-302-II-309 Vol.2, 2004
    • (2004) CVPR 2004 , vol.2
    • Mittal, A.1    Paragios, N.2
  • 18
    • 84865024028 scopus 로고    scopus 로고
    • Learning a background model for change detection
    • A. Morde, X. Ma, and S. Guler. Learning a background model for change detection. In CVPR Workshops 2012, pages 15-20, 2012
    • (2012) CVPR Workshops , Issue.2012 , pp. 15-20
    • Morde, A.1    Ma, X.2    Guler, S.3
  • 19
    • 84865026071 scopus 로고    scopus 로고
    • Evaluation report of integrated background modeling based on spatio-Temporal features
    • Y. Nonaka, A. Shimada, H. Nagahara, and R. Taniguchi. Evaluation report of integrated background modeling based on spatio-Temporal features. In CVPR Workshops 2012, pages 9-14, 2012
    • (2012) CVPR Workshops 2012 , pp. 9-14
    • Nonaka, Y.1    Shimada, A.2    Nagahara, H.3    Taniguchi, R.4
  • 21
    • 84864995138 scopus 로고    scopus 로고
    • Improving foreground segmentations with probabilistic superpixel markov random fields
    • A. Schick, M. Bauml, and R. Stiefelhagen. Improving foreground segmentations with probabilistic superpixel markov random fields. In CVPR Workshops 2012, pages 27-31, 2012
    • (2012) CVPR Workshops 2012 , pp. 27-31
    • Schick, A.1    Bauml, M.2    Stiefelhagen, R.3
  • 22
    • 84887334164 scopus 로고    scopus 로고
    • Background modeling based on bidirectional analysis
    • 6 2013
    • A. Shimada, H. Nagahara, and R. Taniguchi. Background modeling based on bidirectional analysis. In CVPR 2013, pages 1979-1986, 6 2013
    • (2013) CVPR , pp. 1979-1986
    • Shimada, A.1    Nagahara, H.2    Taniguchi, R.3
  • 23
    • 0032634283 scopus 로고    scopus 로고
    • Adaptive background mixture models for real-Time tracking
    • 252 2 1999
    • C. Stauffer andW. E. L. Grimson. Adaptive background mixture models for real-Time tracking. In CVPR 1999, volume 2, pages-252 Vol. 2, 1999
    • (1999) CVPR , vol.2
    • Stauffer, C.1    Grimson, W.E.L.2
  • 25
    • 77950191139 scopus 로고    scopus 로고
    • A multiscale region-based motion Detection and background subtraction algorithm
    • P. D. Z. Varcheie, M. Sills-Lavoie, and G.-A. Bilodeau. A multiscale region-based motion Detection and background subtraction algorithm. Sensors, 10(2):1041-1061, 2010
    • (2010) Sensors , vol.10 , Issue.2 , pp. 1041-1061
    • Varcheie, P.D.Z.1    Sills-Lavoie, M.2    Bilodeau, G.-A.3
  • 26
  • 27
    • 84876001778 scopus 로고    scopus 로고
    • Background model based on intensity change similarity among pixels
    • 19th Korea-Japan Joint Workshop on
    • S. Yoshinaga, A. Shimada, H. Nagahara, and R. Taniguchi. Background model based on intensity change similarity among pixels. In Frontiers of Computer Vision, (FCV), 2013 19th Korea-Japan Joint Workshop on, pages 276-280, 2013
    • (2013) Frontiers of Computer Vision, (FCV 2013 , pp. 276-280
    • Yoshinaga, S.1    Shimada, A.2    Nagahara, H.3    Taniguchi, R.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.