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Volumn 23, Issue 11, 2014, Pages 4663-4679

A Novel video dataset for change detection benchmarking

Author keywords

benchmark testing; Change detection algorithms; video surveillance

Indexed keywords

BENCHMARK TESTING; CHANGE DETECTION; CHANGE DETECTION ALGORITHMS; VIDEO DATASET; VIDEO SURVEILLANCE;

EID: 84907483137     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2014.2346013     Document Type: Article
Times cited : (88)

References (87)
  • 5
    • 80053143044 scopus 로고    scopus 로고
    • Recent advanced statistical background modeling for foreground detection: A systematic survey
    • T. Bouwmans, "Recent advanced statistical background modeling for foreground detection: A systematic survey," Recent Patents Comput. Sci., vol. 4, no. 3, pp. 147-176, 2011.
    • (2011) Recent Patents Comput. Sci. , vol.4 , Issue.3 , pp. 147-176
    • Bouwmans, T.1
  • 6
    • 0034244906 scopus 로고    scopus 로고
    • Detecting salient motion by accumulating directionallyconsistent flow
    • Aug.
    • L. Wixson, "Detecting salient motion by accumulating directionallyconsistent flow," IEEE Trans. Pattern Anal. Mach. Intell., vol. 22, no. 8, pp. 774-780, Aug. 2000.
    • (2000) IEEE Trans. Pattern Anal. Mach. Intell. , vol.22 , Issue.8 , pp. 774-780
    • Wixson, L.1
  • 8
    • 33645307063 scopus 로고    scopus 로고
    • Background and foreground modeling using nonparametric kernel density estimation for visual surveillance
    • Jul.
    • A. Elgammal, R. Duraiswami, D. Harwood, and L. S. Davis, "Background and foreground modeling using nonparametric kernel density estimation for visual surveillance," Proc. IEEE, vol. 90, no. 7, pp. 1151-1163, Jul. 2002.
    • (2002) Proc. IEEE , vol.90 , Issue.7 , pp. 1151-1163
    • Elgammal, A.1    Duraiswami, R.2    Harwood, D.3    Davis, L.S.4
  • 9
    • 79957497122 scopus 로고    scopus 로고
    • ViBe: A universal background subtraction algorithm for video sequences
    • Jun.
    • O. Barnich and M. Van Droogenbroeck, "ViBe: A universal background subtraction algorithm for video sequences," IEEE Trans. Image Process., vol. 20, no. 6, pp. 1709-1724, Jun. 2011.
    • (2011) IEEE Trans. Image Process. , vol.20 , Issue.6 , pp. 1709-1724
    • Barnich, O.1    Van Droogenbroeck, M.2
  • 10
    • 0042842434 scopus 로고    scopus 로고
    • Evaluation of global image thresholding for change detection
    • P. Rosin and E. Ioannidis, "Evaluation of global image thresholding for change detection," Pattern Recognit. Lett., vol. 24, no. 14, pp. 2345-2356, 2003.
    • (2003) Pattern Recognit. Lett. , vol.24 , Issue.14 , pp. 2345-2356
    • Rosin, P.1    Ioannidis, E.2
  • 11
    • 14844339425 scopus 로고    scopus 로고
    • Image change detection algorithms: A systematic survey
    • Mar.
    • R. Radke, S. Andra, O. Al-Kofahi, and B. Roysam, "Image change detection algorithms: A systematic survey," IEEE Trans. Image Process., vol. 14, no. 3, pp. 294-307, Mar. 2005.
    • (2005) IEEE Trans. Image Process. , vol.14 , Issue.3 , pp. 294-307
    • Radke, R.1    Andra, S.2    Al-Kofahi, O.3    Roysam, B.4
  • 12
    • 33748796601 scopus 로고    scopus 로고
    • Change detection by frequency decomposition: Wave-back
    • F. Porikli and C. Wren, "Change detection by frequency decomposition: Wave-back," in Proc. Workshop IAMIS, 2005.
    • (2005) Proc. Workshop IAMIS
    • Porikli, F.1    Wren, C.2
  • 16
    • 84901769096 scopus 로고    scopus 로고
    • A nonparametric approach for multiple change point analysis of multivariate data
    • D. S. Matteson and N. A. Jame, "A nonparametric approach for multiple change point analysis of multivariate data," J. Amer. Statist. Assoc., vol. 109, no. 505, pp. 334-345, 2013.
    • (2013) J. Amer. Statist. Assoc. , vol.109 , Issue.505 , pp. 334-345
    • Matteson, D.S.1    Jame, N.A.2
  • 17
    • 0029220539 scopus 로고
    • Segmentation and tracking of piglets in images
    • N. J. B. McFarlane and C. P. Schofield, "Segmentation and tracking of piglets in images," Mach. Vis. Appl., vol. 8, no. 3, pp. 187-193, 1995.
    • (1995) Mach. Vis. Appl. , vol.8 , Issue.3 , pp. 187-193
    • McFarlane, N.J.B.1    Schofield, C.P.2
  • 18
    • 84455175284 scopus 로고    scopus 로고
    • Novelty detection using growing neural gas for visuo-spatial memory
    • Sep.
    • D. Kit, B. Sullivan, and D. Ballard, "Novelty detection using growing neural gas for visuo-spatial memory," in Proc. IEEE IROS, Sep. 2011, pp. 1194-1200.
    • (2011) Proc. IEEE IROS , pp. 1194-1200
    • Kit, D.1    Sullivan, B.2    Ballard, D.3
  • 19
    • 33749574135 scopus 로고    scopus 로고
    • Extracting roadway background image: A mode based approach
    • J. Zheng, Y. Wang, N. L. Nihan, and M. E. Hallenbeck, "Extracting roadway background image: A mode based approach," J. Transp. Res. Rep., vol. 1944, no. 1, pp. 82-88, 2006.
    • (2006) J. Transp. Res. Rep. , vol.1944 , Issue.1 , pp. 82-88
    • Zheng, J.1    Wang, Y.2    Nihan, N.L.3    Hallenbeck, M.E.4
  • 20
    • 84864989455 scopus 로고    scopus 로고
    • Background subtraction based on local shape
    • Montréal, QC, Canada, Tech. Rep.
    • J.-P. Jodoin, G. Bilodeau, and N. Saunier, "Background subtraction based on local shape," École Polytechnique, Montréal, QC, Canada, Tech. Rep., 2012.
    • (2012) École Polytechnique
    • Jodoin, J.-P.1    Bilodeau, G.2    Saunier, N.3
  • 21
    • 0001408591 scopus 로고
    • Moving object recognition using an adaptive background memory
    • V. Capellini, Ed. Amsterdam, The Netherlands: Elsevier
    • K. Karman and A. von Brandt, "Moving object recognition using an adaptive background memory," in Time-Varying Image Processing and Moving Object Recognition, vol. 2, V. Capellini, Ed. Amsterdam, The Netherlands: Elsevier, 1990, pp. 297-307.
    • (1990) Time-Varying Image Processing and Moving Object Recognition , vol.2 , pp. 297-307
    • Karman, K.1    Von Brandt, A.2
  • 22
    • 0344551957 scopus 로고    scopus 로고
    • Segmenting foreground objects from a dynamic textured background via a robust Kalman filter
    • Oct.
    • J. Zhong and S. Sclaroff, "Segmenting foreground objects from a dynamic textured background via a robust Kalman filter," in Proc. IEEE Int. Conf. Comput. Vis., Oct. 2003, pp. 44-50.
    • (2003) Proc. IEEE Int. Conf. Comput. Vis. , pp. 44-50
    • Zhong, J.1    Sclaroff, S.2
  • 24
    • 0035279879 scopus 로고    scopus 로고
    • The recognition of human movement using temporal templates
    • Mar.
    • A. F. Bobick and J. W. Davis, "The recognition of human movement using temporal templates," IEEE Trans. Pattern Anal. Mach. Intell., vol. 23, no. 3, pp. 257-267, Mar. 2001.
    • (2001) IEEE Trans. Pattern Anal. Mach. Intell. , vol.23 , Issue.3 , pp. 257-267
    • Bobick, A.F.1    Davis, J.W.2
  • 26
    • 84903396873 scopus 로고    scopus 로고
    • Change detection by probabilistic segmentation from monocular view
    • F. J. Hernandez-Lopez and M. Rivera, "Change detection by probabilistic segmentation from monocular view," Mach. Vis. Appl., vol. 25, no. 5, pp. 1175-1195, 2014.
    • (2014) Mach. Vis. Appl. , vol.25 , Issue.5 , pp. 1175-1195
    • Hernandez-Lopez, F.J.1    Rivera, M.2
  • 27
    • 38149078188 scopus 로고    scopus 로고
    • Robust foreground extraction technique using Gaussian family model and multiple thresholds
    • H. Kim, R. Sakamoto, I. Kitahara, T. Toriyama, and K. Kogure, "Robust foreground extraction technique using Gaussian family model and multiple thresholds," in Proc. ACCV, 2007, pp. 758-768.
    • (2007) Proc. ACCV , pp. 758-768
    • Kim, H.1    Sakamoto, R.2    Kitahara, I.3    Toriyama, T.4    Kogure, K.5
  • 29
    • 0034244889 scopus 로고    scopus 로고
    • Learning patterns of activity using real-time tracking
    • Aug.
    • C. Stauffer and W. E. L. Grimson, "Learning patterns of activity using real-time tracking," IEEE Trans. Pattern Anal. Mach. Intell., vol. 22, no. 8, pp. 747-757, Aug. 2000.
    • (2000) IEEE Trans. Pattern Anal. Mach. Intell. , vol.22 , Issue.8 , pp. 747-757
    • Stauffer, C.1    Grimson, W.E.L.2
  • 31
    • 0742303390 scopus 로고    scopus 로고
    • An improved adaptive background mixture model for realtime tracking with shadow detection
    • New York, NY, USA: Springer-Verlag
    • P. KaewTraKulPong and R. Bowden, "An improved adaptive background mixture model for realtime tracking with shadow detection," in European Workshop on Advanced Video Based Surveillance Systems. New York, NY, USA: Springer-Verlag, 2001.
    • (2001) European Workshop on Advanced Video Based Surveillance Systems
    • Kaewtrakulpong, P.1    Bowden, R.2
  • 32
    • 33644870377 scopus 로고    scopus 로고
    • Efficient adaptive density estimation per image pixel for the task of background subtraction
    • Z. Zivkovic and F. van der Heijden, "Efficient adaptive density estimation per image pixel for the task of background subtraction," Pattern Recognit. Lett., vol. 27, no. 7, pp. 773-780, 2006.
    • (2006) Pattern Recognit. Lett. , vol.27 , Issue.7 , pp. 773-780
    • Zivkovic, Z.1    Heijden Der F.Van2
  • 33
    • 84891913229 scopus 로고    scopus 로고
    • Background subtraction with dirichlet processes
    • T. S. F. Haines and T. Xiang, "Background subtraction with dirichlet processes," in Proc. Eur. Conf. Comput. Vis., 2012, pp. 97-111.
    • (2012) Proc. Eur. Conf. Comput. Vis. , pp. 97-111
    • Haines, T.S.F.1    Xiang, T.2
  • 35
    • 80053995832 scopus 로고    scopus 로고
    • Complementary background models for the detection of static and moving objects in crowded environments
    • Sep.
    • R. H. Evangelio and T. Sikora, "Complementary background models for the detection of static and moving objects in crowded environments," in Proc. 8th IEEE Int. Conf. AVSS, Sep. 2011, pp. 71-76.
    • (2011) Proc. 8th IEEE Int. Conf. AVSS , pp. 71-76
    • Evangelio, R.H.1    Sikora, T.2
  • 37
    • 78149489170 scopus 로고    scopus 로고
    • Finite general Gaussian mixture modeling and application to image and video foreground segmentation
    • M. S. Allili, N. Bouguila, and D. Ziou, "Finite general Gaussian mixture modeling and application to image and video foreground segmentation," J. Electron. Imag., vol. 17, no. 1, pp. 1-23, 2008.
    • (2008) J. Electron. Imag. , vol.17 , Issue.1 , pp. 1-23
    • Allili, M.S.1    Bouguila, N.2    Ziou, D.3
  • 38
    • 7444243389 scopus 로고    scopus 로고
    • Statistical modeling of complex backgrounds for foreground object detection
    • Nov.
    • L. Li, W. Huang, I. Y.-H. Gu, and Q. Tian, "Statistical modeling of complex backgrounds for foreground object detection," IEEE Trans. Image Process., vol. 13, no. 11, pp. 1459-1472, Nov. 2004.
    • (2004) IEEE Trans. Image Process. , vol.13 , Issue.11 , pp. 1459-1472
    • Li, L.1    Huang, W.2    Gu, I.Y.-H.3    Tian, Q.4
  • 39
    • 33847003281 scopus 로고    scopus 로고
    • Real-time adaptive background segmentation
    • Jul.
    • D. Butler, S. Sridharan, and M. Bove, "Real-time adaptive background segmentation," in Proc. ICME, Jul. 2003, pp. 341-344.
    • (2003) Proc. ICME , pp. 341-344
    • Butler, D.1    Sridharan, S.2    Bove, M.3
  • 40
    • 84898448793 scopus 로고    scopus 로고
    • Background subtraction in videos using Bayesian learning with motion information
    • P. Jaikumar, A. Singh, and S. K. Mitra, "Background subtraction in videos using Bayesian learning with motion information," in Proc. Brit. Mach. Vis. Conf., 2008, pp. 1-10.
    • (2008) Proc. Brit. Mach. Vis. Conf. , pp. 1-10
    • Jaikumar, P.1    Singh, A.2    Mitra, S.K.3
  • 41
    • 21644463503 scopus 로고    scopus 로고
    • Real-time foreground-background segmentation using codebook model
    • K. Kim, T. H. Chalidabhongse, D. Harwood, and L. Davis, "Real-time foreground-background segmentation using codebook model," Real- Time Imag., vol. 11, no. 3, pp. 172-185, 2005.
    • (2005) Real- Time Imag. , vol.11 , Issue.3 , pp. 172-185
    • Kim, K.1    Chalidabhongse, T.H.2    Harwood, D.3    Davis, L.4
  • 48
    • 33144466752 scopus 로고    scopus 로고
    • A texture-based method for modeling the background and detecting moving objects
    • Apr.
    • M. Heikkila and M. Pietikainen, "A texture-based method for modeling the background and detecting moving objects," IEEE Trans. Pattern Anal. Mach. Intell., vol. 28, no. 4, pp. 657-662, Apr. 2006.
    • (2006) IEEE Trans. Pattern Anal. Mach. Intell. , vol.28 , Issue.4 , pp. 657-662
    • Heikkila, M.1    Pietikainen, M.2
  • 49
    • 5044221727 scopus 로고    scopus 로고
    • Motion-based background subtraction using adaptive kernel density estimation
    • Jul.
    • A. Mittal and N. Paragios, "Motion-based background subtraction using adaptive kernel density estimation," in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., Jul. 2004, pp. 302-309.
    • (2004) Proc. IEEE Conf. Comput. Vis. Pattern Recognit. , pp. 302-309
    • Mittal, A.1    Paragios, N.2
  • 50
    • 0034245149 scopus 로고    scopus 로고
    • A Bayesian computer vision system for modeling human interactions
    • Aug.
    • N. M. Oliver, B. Rosario, and A. P. Pentland, "A Bayesian computer vision system for modeling human interactions," IEEE Trans. Pattern Anal. Mach. Intell., vol. 22, no. 8, pp. 831-843, Aug. 2000.
    • (2000) IEEE Trans. Pattern Anal. Mach. Intell. , vol.22 , Issue.8 , pp. 831-843
    • Oliver, N.M.1    Rosario, B.2    Pentland, A.P.3
  • 51
    • 33845254583 scopus 로고    scopus 로고
    • An eigenbackground subtraction method using recursive error compensation
    • Z. Xu, P. Shi, and I. Y.-H. Gu, "An eigenbackground subtraction method using recursive error compensation," in Proc. PCM, 2006, pp. 779-787.
    • (2006) Proc. PCM , pp. 779-787
    • Xu, Z.1    Shi, P.2    Gu, I.Y.-H.3
  • 52
    • 2442471723 scopus 로고    scopus 로고
    • On incremental and robust subspace learning
    • Y. Li, "On incremental and robust subspace learning," Pattern Recognit., vol. 37, no. 7, pp. 1509-1518, 2004.
    • (2004) Pattern Recognit. , vol.37 , Issue.7 , pp. 1509-1518
    • Li, Y.1
  • 53
    • 85013613626 scopus 로고    scopus 로고
    • Illumination invariant foreground detection using multi-subspace learning
    • Y. Dong, T. X. Han, and G. N. Desouza, "Illumination invariant foreground detection using multi-subspace learning," Int. J. Knowl.- Based Intell. Eng. Syst., vol. 14, no. 1, pp. 31-41, 2010.
    • (2010) Int. J. Knowl.- Based Intell. Eng. Syst. , vol.14 , Issue.1 , pp. 31-41
    • Dong, Y.1    Han, T.X.2    Desouza, G.N.3
  • 55
    • 84902117594 scopus 로고    scopus 로고
    • PROST: A smoothed ℓ p-norm robust online subspace tracking method for background subtraction in video
    • F. Seidel, C. Hage, and M. Kleinsteuber, "pROST: A smoothed ℓ p-norm robust online subspace tracking method for background subtraction in video," Mach. Vis. Appl., vol. 25, no. 5, pp. 1227-1240, 2013.
    • (2013) Mach. Vis. Appl. , vol.25 , Issue.5 , pp. 1227-1240
    • Seidel, F.1    Hage, C.2    Kleinsteuber, M.3
  • 56
    • 84874573652 scopus 로고    scopus 로고
    • Foreground detection via robust low rank matrix factorization including spatial constraint with Iterative reweighted regression
    • Nov.
    • C. Guyon, T. Bouwmans, and E. Zahzah, "Foreground detection via robust low rank matrix factorization including spatial constraint with Iterative reweighted regression," in Proc. 21st ICPR, Nov. 2012, pp. 2805-2808.
    • (2012) Proc. 21st ICPR , pp. 2805-2808
    • Guyon, C.1    Bouwmans, T.2    Zahzah, E.3
  • 57
    • 84897720091 scopus 로고    scopus 로고
    • Robust principal component analysis for background subtraction: Systematic evaluation and comparative analysis
    • P. Sanguansat, Ed. Rijeka, Croatia: InTech, ch. 12
    • C. Guyon, T. Bouwmans, and E. Zahzah, "Robust principal component analysis for background subtraction: Systematic evaluation and comparative analysis," in Principal Component Analysis, P. Sanguansat, Ed. Rijeka, Croatia: InTech, 2012, ch. 12, pp. 223-238.
    • (2012) Principal Component Analysis , pp. 223-238
    • Guyon, C.1    Bouwmans, T.2    Zahzah, E.3
  • 58
    • 84866665003 scopus 로고    scopus 로고
    • Incremental gradient on the Grassmannian for online foreground and background separation in subsampled video
    • Jun.
    • J. He, L. Balzano, and A. Szlam, "Incremental gradient on the Grassmannian for online foreground and background separation in subsampled video," in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., Jun. 2012, pp. 1568-1575.
    • (2012) Proc. IEEE Conf. Comput. Vis. Pattern Recognit. , pp. 1568-1575
    • He, J.1    Balzano, L.2    Szlam, A.3
  • 59
    • 79960675858 scopus 로고    scopus 로고
    • Robust principal component analysis?
    • E. J. Candès, X. Li, Y. Ma, and J. Wright, "Robust principal component analysis?" J. ACM, vol. 58, no. 3, pp. 11:1-11:37, 2011.
    • (2011) J. ACM , vol.58 , Issue.3 , pp. 111-1137
    • Candès, E.J.1    Li, X.2    Ma, Y.3    Wright, J.4
  • 60
    • 84867841972 scopus 로고    scopus 로고
    • A probabilistic approach to robust matrix factorization
    • Berlin, Germany: Springer-Verlag
    • N. Wang, T. Yao, J. Wang, and D.-Y. Yeung, "A probabilistic approach to robust matrix factorization," in Computer Vision. Berlin, Germany: Springer-Verlag, 2012, pp. 126-139.
    • (2012) Computer Vision , pp. 126-139
    • Wang, N.1    Yao, T.2    Wang, J.3    Yeung, D.-Y.4
  • 61
    • 35348860159 scopus 로고    scopus 로고
    • Multiplicative background-foreground estimation under uncontrolled illumination using intrinsic images
    • Breckenridge, CO, USA, Jan.
    • F. Porikli, "Multiplicative background-foreground estimation under uncontrolled illumination using intrinsic images," in Proc. 7th IEEE Workshops Appl. Comput. Vis., Breckenridge, CO, USA, Jan. 2005, pp. 20-27.
    • (2005) Proc. 7th IEEE Workshops Appl. Comput. Vis. , pp. 20-27
    • Porikli, F.1
  • 62
    • 79955069649 scopus 로고    scopus 로고
    • Background subtraction via robust dictionary learning
    • Jan.
    • C. Zhao, X. Wang, and W.-K. Cham, "Background subtraction via robust dictionary learning," EURASIP J. Image Video Process., vol. 2011, pp. 1-12, Jan. 2011.
    • (2011) EURASIP J. Image Video Process. , vol.2011 , pp. 1-12
    • Zhao, C.1    Wang, X.2    Cham, W.-K.3
  • 63
    • 0032073537 scopus 로고    scopus 로고
    • Dense estimation and object-based segmentation of the optical flow with robust techniques
    • May
    • E. Memin and P. Perez, "Dense estimation and object-based segmentation of the optical flow with robust techniques," IEEE Trans. Image Process., vol. 7, no. 5, pp. 703-719, May 1998.
    • (1998) IEEE Trans. Image Process. , vol.7 , Issue.5 , pp. 703-719
    • Memin, E.1    Perez, P.2
  • 64
    • 78649728374 scopus 로고    scopus 로고
    • Fast image motion segmentation for surveillance applications
    • X. Lu and R. Manduchi, "Fast image motion segmentation for surveillance applications," Image Vis. Comput., vol. 29, nos. 2-3, pp. 104-116, 2011.
    • (2011) Image Vis. Comput. , vol.29 , Issue.2-3 , pp. 104-116
    • Lu, X.1    Manduchi, R.2
  • 65
    • 27944498578 scopus 로고    scopus 로고
    • Modified GMM background modeling and optical flow for detection of moving objects
    • Oct.
    • D. Zhou and H. Zhang, "Modified GMM background modeling and optical flow for detection of moving objects," in Proc. IEEE Int. Conf. Syst., Man Cybern., Oct. 2005, pp. 2224-2229.
    • (2005) Proc. IEEE Int. Conf. Syst., Man Cybern. , pp. 2224-2229
    • Zhou, D.1    Zhang, H.2
  • 66
    • 79955364171 scopus 로고    scopus 로고
    • Real-time discriminative background subtraction
    • May
    • L. Cheng, M. Gong, D. Schuurmans, and T. Caelli, "Real-time discriminative background subtraction," IEEE Trans. Image Process., vol. 20, no. 5, pp. 1401-1414, May 2011.
    • (2011) IEEE Trans. Image Process. , vol.20 , Issue.5 , pp. 1401-1414
    • Cheng, L.1    Gong, M.2    Schuurmans, D.3    Caelli, T.4
  • 67
  • 68
    • 38149095107 scopus 로고    scopus 로고
    • Real-time foregroundbackground segmentation using adaptive support vector machine algorithm
    • Z. Hao, W. Wen, Z. Liu, and X. Yang, "Real-time foregroundbackground segmentation using adaptive support vector machine algorithm," in Proc. 17th ICANN, 2007, pp. 603-610.
    • (2007) Proc. 17th ICANN , pp. 603-610
    • Hao, Z.1    Wen, W.2    Liu, Z.3    Yang, X.4
  • 69
    • 84859175807 scopus 로고    scopus 로고
    • Density-based multifeature background subtraction with support vector machine
    • May
    • B. Han and L. S. Davis, "Density-based multifeature background subtraction with support vector machine," IEEE Trans. Pattern Anal. Mach. Intell., vol. 34, no. 5, pp. 1017-1023, May 2012.
    • (2012) IEEE Trans. Pattern Anal. Mach. Intell. , vol.34 , Issue.5 , pp. 1017-1023
    • Han, B.1    Davis, L.S.2
  • 70
    • 45949086871 scopus 로고    scopus 로고
    • A self-organizing approach to background subtraction for visual surveillance applications
    • Jul.
    • L. Maddalena and A. Petrosino, "A self-organizing approach to background subtraction for visual surveillance applications," IEEE Trans. Image Process., vol. 17, no. 7, pp. 1168-1177, Jul. 2008.
    • (2008) IEEE Trans. Image Process. , vol.17 , Issue.7 , pp. 1168-1177
    • Maddalena, L.1    Petrosino, A.2
  • 73
    • 0141742284 scopus 로고    scopus 로고
    • A framework for robust subspace learning
    • F. De La Torre and M. J. Black, "A framework for robust subspace learning," Int. J. Comput. Vis., vol. 54, nos. 1-3, pp. 117-142, 2003.
    • (2003) Int. J. Comput. Vis. , vol.54 , Issue.1-3 , pp. 117-142
    • De La Torre, F.1    Black, M.J.2
  • 75
    • 77955173456 scopus 로고    scopus 로고
    • Video surveillance online repository (ViSOR): An integrated framework
    • R. Vezzani and R. Cucchiara, "Video surveillance online repository (ViSOR): An integrated framework," Multimedia Tools Appl., vol. 50, no. 2, pp. 359-380, 2010.
    • (2010) Multimedia Tools Appl. , vol.50 , Issue.2 , pp. 359-380
    • Vezzani, R.1    Cucchiara, R.2
  • 76
    • 32644452266 scopus 로고    scopus 로고
    • Comparison of static background segmentation methods
    • Jun.
    • M. Karaman, L. Goldmann, D. Yu, and T. Sikora, "Comparison of static background segmentation methods," Proc. SPIE, vol. 5960, pp. 2140-2151, Jun. 2005.
    • (2005) Proc. SPIE , vol.5960 , pp. 2140-2151
    • Karaman, M.1    Goldmann, L.2    Yu, D.3    Sikora, T.4
  • 79
    • 29544448961 scopus 로고    scopus 로고
    • Robust background subtraction with foreground validation for urban traffic video
    • Jan.
    • S.-C. S. Cheung and C. Kamath, "Robust background subtraction with foreground validation for urban traffic video," EURASIP J. Appl. Signal Process., vol. 2005, pp. 2330-2340, Jan. 2005.
    • (2005) EURASIP J. Appl. Signal Process. , vol.2005 , pp. 2330-2340
    • Cheung, S.-C.S.1    Kamath, C.2
  • 80
    • 70449580219 scopus 로고    scopus 로고
    • Background modeling using mixture of Gaussians for foreground detection: A survey
    • T. Bouwmans, F. El Baf, and B. Vachon, "Background modeling using mixture of Gaussians for foreground detection: A survey," Recent Patents Comput. Sci., vol. 1, no. 3, pp. 219-237, 2008.
    • (2008) Recent Patents Comput. Sci. , vol.1 , Issue.3 , pp. 219-237
    • Bouwmans, T.1    El Baf, F.2    Vachon, B.3
  • 81
    • 33746649575 scopus 로고    scopus 로고
    • Performance evaluation of object detection algorithms for video surveillance
    • Aug.
    • J. Nascimento and J. Marques, "Performance evaluation of object detection algorithms for video surveillance," IEEE Trans. Multimedia, vol. 8, no. 8, pp. 761-774, Aug. 2006.
    • (2006) IEEE Trans. Multimedia , vol.8 , Issue.8 , pp. 761-774
    • Nascimento, J.1    Marques, J.2
  • 82
    • 84879921232 scopus 로고    scopus 로고
    • Video frame's background modeling: Reviewing the techniques
    • H. Hassanpour, M. Sedighi, and A. R. Manashty, "Video frame's background modeling: Reviewing the techniques," J. Signal Inf. Process., vol. 2, no. 2, pp. 72-78, 2011.
    • (2011) J. Signal Inf. Process. , vol.2 , Issue.2 , pp. 72-78
    • Hassanpour, H.1    Sedighi, M.2    Manashty, A.R.3
  • 85
    • 60849136333 scopus 로고    scopus 로고
    • Evaluation of background subtraction algorithms with post-processing
    • Sep.
    • D. Parks and S. Fels, "Evaluation of background subtraction algorithms with post-processing," in Proc. IEEE 5th Int. Conf. AVSS, Sep. 2008, pp. 192-199.
    • (2008) Proc. IEEE 5th Int. Conf. AVSS , pp. 192-199
    • Parks, D.1    Fels, S.2
  • 86
    • 15744378302 scopus 로고    scopus 로고
    • Background subtraction techniques: A review
    • Oct.
    • M. Piccardi, "Background subtraction techniques: A review," in Proc. IEEE Int. Conf. Syst., Man Cybern., Oct. 2004, pp. 3099-3104.
    • (2004) Proc. IEEE Int. Conf. Syst., Man Cybern. , pp. 3099-3104
    • Piccardi, M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.