메뉴 건너뛰기




Volumn 133, Issue , 2015, Pages 30-50

Features for stochastic approximation based foreground detection

Author keywords

Background features; Background modeling; Foreground detection; Pareto front; Probabilistic mixture model

Indexed keywords

ALGORITHMS; APPROXIMATION THEORY; MIXTURES; STOCHASTIC SYSTEMS;

EID: 85027923965     PISSN: 10773142     EISSN: 1090235X     Source Type: Journal    
DOI: 10.1016/j.cviu.2014.12.007     Document Type: Article
Times cited : (26)

References (51)
  • 2
    • 35848940086 scopus 로고    scopus 로고
    • Study on color space selection for detecting cast shadows in video surveillance
    • C. Benedek, and T. Szirányi Study on color space selection for detecting cast shadows in video surveillance Int. J. Imaging Syst. Technol. 17 3 2007 190 201
    • (2007) Int. J. Imaging Syst. Technol. , vol.17 , Issue.3 , pp. 190-201
    • Benedek, C.1    Szirányi, T.2
  • 4
    • 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. 1 3 2008 219 237
    • (2008) Recent Patents Comput. Sci. , vol.1 , Issue.3 , pp. 219-237
    • Bouwmans, T.1    El Baf, F.2    Vachon, B.3
  • 6
    • 84863376515 scopus 로고    scopus 로고
    • Online em algorithm for background subtraction
    • P. Chen, X. Chen, B. Jin, and X. Zhu Online EM algorithm for background subtraction Proc. Eng. 29 2012 164 169
    • (2012) Proc. Eng. , vol.29 , pp. 164-169
    • Chen, P.1    Chen, X.2    Jin, B.3    Zhu, X.4
  • 8
    • 0142103248 scopus 로고    scopus 로고
    • Detecting moving objects, ghosts and shadows in video streams
    • G. Cucchiara, and P. Piccardi Detecting moving objects, ghosts and shadows in video streams IEEE Trans. Pattern Anal. Machine Intell. 25 10 2003 1337 1342
    • (2003) IEEE Trans. Pattern Anal. Machine Intell. , vol.25 , Issue.10 , pp. 1337-1342
    • Cucchiara, G.1    Piccardi, P.2
  • 9
    • 33645307063 scopus 로고    scopus 로고
    • Background and foreground modeling using nonparametric kernel density estimation for visual surveillance
    • A. Elgammal, R. Duraiswami, D. Harwood, and L. Davis Background and foreground modeling using nonparametric kernel density estimation for visual surveillance Proc. IEEE 90 7 2002 1151 1163
    • (2002) Proc. IEEE , vol.90 , Issue.7 , pp. 1151-1163
    • Elgammal, A.1    Duraiswami, R.2    Harwood, D.3    Davis, L.4
  • 10
    • 84898067778 scopus 로고    scopus 로고
    • Biologically-inspired robust motion segmentation using mutual information
    • A.-L. Ellis, and J. Ferryman Biologically-inspired robust motion segmentation using mutual information Comput. Vision Image Understand. 122 2014 47 64
    • (2014) Comput. Vision Image Understand. , vol.122 , pp. 47-64
    • Ellis, A.-L.1    Ferryman, J.2
  • 13
    • 84867847704 scopus 로고    scopus 로고
    • Background subtraction with Dirichlet processes
    • A. Fitzgibbon, S. Lazebnik, P. Perona, Y. Sato, C. Schmid, Lecture Notes in Computer Science Springer Berlin, Heidelberg
    • T.S. Haines, and T. Xiang Background subtraction with Dirichlet processes A. Fitzgibbon, S. Lazebnik, P. Perona, Y. Sato, C. Schmid, Computer Vision ECCV 2012 Lecture Notes in Computer Science vol. 7575 2012 Springer Berlin, Heidelberg 99 113
    • (2012) Computer Vision ECCV 2012 , vol.7575 , pp. 99-113
    • Haines, T.S.1    Xiang, T.2
  • 14
    • 84859175807 scopus 로고    scopus 로고
    • Density-based multifeature background subtraction with support vector machine
    • B. Han, and L.S. Davis Density-based multifeature background subtraction with support vector machine IEEE Trans. Pattern Anal. Machine Intell. 34 5 2012 1017 1023
    • (2012) IEEE Trans. Pattern Anal. Machine Intell. , vol.34 , Issue.5 , pp. 1017-1023
    • Han, B.1    Davis, L.S.2
  • 15
    • 84859061885 scopus 로고    scopus 로고
    • A qualitative and quantitative comparison of real-time background subtraction algorithms for video surveillance applications
    • M. Hedayati, W.M.D.W. Zaki, and A. Hussain A qualitative and quantitative comparison of real-time background subtraction algorithms for video surveillance applications J. Comput. Inform. Syst. 8 2 2012 493 505
    • (2012) J. Comput. Inform. Syst. , vol.8 , Issue.2 , pp. 493-505
    • Hedayati, M.1    Zaki, W.M.D.W.2    Hussain, A.3
  • 16
    • 33144466752 scopus 로고    scopus 로고
    • A texture-based method for modeling the background and detecting moving objects
    • M. Heikkila, and M. Pietikainen A texture-based method for modeling the background and detecting moving objects IEEE Trans. Pattern Anal. Machine Intell. 28 4 2006 657 662
    • (2006) IEEE Trans. Pattern Anal. Machine Intell. , vol.28 , Issue.4 , pp. 657-662
    • Heikkila, M.1    Pietikainen, M.2
  • 17
    • 0041508620 scopus 로고    scopus 로고
    • A real time adaptive visual surveillance system for tracking low-resolution colour targets in dynamically changing scenes
    • P. KaewTrakulPong, and R. Bowden A real time adaptive visual surveillance system for tracking low-resolution colour targets in dynamically changing scenes Image Vision Comput. 21 9 2003 913 929
    • (2003) Image Vision Comput. , vol.21 , Issue.9 , pp. 913-929
    • Kaewtrakulpong, P.1    Bowden, R.2
  • 19
    • 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 Imaging 11 3 2005 172 185
    • (2005) Real-Time Imaging , vol.11 , Issue.3 , pp. 172-185
    • Kim, K.1    Chalidabhongse, T.H.2    Harwood, D.3    Davis, L.4
  • 21
    • 7444243389 scopus 로고    scopus 로고
    • Statistical modeling of complex backgrounds for foreground object detection
    • L. Li, W. Huang, I.Y.-H. Gu, and Q. Tian Statistical modeling of complex backgrounds for foreground object detection IEEE Trans. Image Process. 13 11 2004 1459 1472
    • (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
  • 22
    • 84866175624 scopus 로고    scopus 로고
    • BSTBGA: A hybrid genetic algorithm for constrained multi-objective optimization problems
    • X. Li, and G. Du BSTBGA: a hybrid genetic algorithm for constrained multi-objective optimization problems Comput. Oper. Res. 40 1 2013 282 302
    • (2013) Comput. Oper. Res. , vol.40 , Issue.1 , pp. 282-302
    • Li, X.1    Du, G.2
  • 23
    • 84866482099 scopus 로고    scopus 로고
    • An experimental analysis of design choices of multi-objective ant colony optimization algorithms
    • M. López-Ibáñez, and T. Stützle An experimental analysis of design choices of multi-objective ant colony optimization algorithms Swarm Intell. 6 3 2012 207 232
    • (2012) Swarm Intell. , vol.6 , Issue.3 , pp. 207-232
    • López-Ibáñez, M.1    Stützle, T.2
  • 25
    • 79960062885 scopus 로고    scopus 로고
    • Foreground detection in video sequences with probabilistic self-organizing maps
    • E. López-Rubio, R.M. Luque-Baena, and E. Domínguez Foreground detection in video sequences with probabilistic self-organizing maps Int. J. Neural Syst. 21 3 2011 225 246
    • (2011) Int. J. Neural Syst. , vol.21 , Issue.3 , pp. 225-246
    • López-Rubio, E.1    Luque-Baena, R.M.2    Domínguez, E.3
  • 26
    • 84864991828 scopus 로고    scopus 로고
    • A fuzzy spatial coherence-based approach to background/foreground separation for moving object detection
    • L. Maddalena, and A. Petrosino A fuzzy spatial coherence-based approach to background/foreground separation for moving object detection Neural Comput. Appl. 19 2 2010 179 186
    • (2010) Neural Comput. Appl. , vol.19 , Issue.2 , pp. 179-186
    • Maddalena, L.1    Petrosino, A.2
  • 28
    • 0000729111 scopus 로고    scopus 로고
    • Shadow-invariant classification for scenes illuminated by daylight
    • J.A. Marchant, and C.M. Onyango Shadow-invariant classification for scenes illuminated by daylight J. Opt. Soc. Am. 17 11 2000 1952 1961
    • (2000) J. Opt. Soc. Am. , vol.17 , Issue.11 , pp. 1952-1961
    • Marchant, J.A.1    Onyango, C.M.2
  • 29
    • 0029220539 scopus 로고
    • Segmentation and tracking of piglets in images
    • N. McFarlane, and C. Schonfield Segmentation and tracking of piglets in images Machine Vision Appl. 8 3 1995 187 193
    • (1995) Machine Vision Appl. , vol.8 , Issue.3 , pp. 187-193
    • McFarlane, N.1    Schonfield, C.2
  • 30
    • 84894436705 scopus 로고    scopus 로고
    • An adaptive GMM approach to background subtraction for application in real time surveillance
    • S. Mukherjee, and K. Das An adaptive GMM approach to background subtraction for application in real time surveillance Int. J. Res. Eng. Technol. 2 1 2013 25 29
    • (2013) Int. J. Res. Eng. Technol. , vol.2 , Issue.1 , pp. 25-29
    • Mukherjee, S.1    Das, K.2
  • 37
    • 84864615370 scopus 로고    scopus 로고
    • Using the averaged hausdorff distance as a performance measure in evolutionary multiobjective optimization
    • O. Schütze, X. Esquivel, A. Lara, and C. Coello Using the averaged hausdorff distance as a performance measure in evolutionary multiobjective optimization IEEE Trans. Evol. Comput. 16 4 2012 504 522
    • (2012) IEEE Trans. Evol. Comput. , vol.16 , Issue.4 , pp. 504-522
    • Schütze, O.1    Esquivel, X.2    Lara, A.3    Coello, C.4
  • 38
    • 84866529675 scopus 로고    scopus 로고
    • Information integration for accurate foreground segmentation in complex scenes
    • J. Shen, W. Yang, Z. Lu, and Q. Liao Information integration for accurate foreground segmentation in complex scenes IET Image Process. 6 5 2012 596 605
    • (2012) IET Image Process. , vol.6 , Issue.5 , pp. 596-605
    • Shen, J.1    Yang, W.2    Lu, Z.3    Liao, Q.4
  • 39
    • 84898068035 scopus 로고    scopus 로고
    • A texton-based kernel density estimation approach for background modeling under extreme conditions
    • C. Spampinato, S. Palazzo, and I. Kavasidis A texton-based kernel density estimation approach for background modeling under extreme conditions Comput. Vision Image Understand. 122 2014 74 83
    • (2014) Comput. Vision Image Understand. , vol.122 , pp. 74-83
    • Spampinato, C.1    Palazzo, S.2    Kavasidis, I.3
  • 42
    • 84887850294 scopus 로고    scopus 로고
    • Selective eigenbackground for background modeling and subtraction in crowded scenes
    • Y. Tian, Y. Wang, Z. Hu, and T. Huang Selective eigenbackground for background modeling and subtraction in crowded scenes IEEE Trans. Circ. Syst. Video Technol. 23 11 2013 1849 1864
    • (2013) IEEE Trans. Circ. Syst. Video Technol. , vol.23 , Issue.11 , pp. 1849-1864
    • Tian, Y.1    Wang, Y.2    Hu, Z.3    Huang, T.4
  • 44
    • 84869506787 scopus 로고    scopus 로고
    • Real-time robust background subtraction under rapidly changing illumination conditions
    • L. Vosters, C. Shan, and T. Gritti Real-time robust background subtraction under rapidly changing illumination conditions Image Vision Comput. 30 12 2012 1004 1015
    • (2012) Image Vision Comput. , vol.30 , Issue.12 , pp. 1004-1015
    • Vosters, L.1    Shan, C.2    Gritti, T.3
  • 46
    • 78651568454 scopus 로고    scopus 로고
    • Recursive error-compensated dynamic eigenbackground learning and adaptive background subtraction in video
    • Z. Xu, I.-H. Gu, and P. Shi Recursive error-compensated dynamic eigenbackground learning and adaptive background subtraction in video Opt. Eng. 47 5 2008
    • (2008) Opt. Eng. , vol.47 , Issue.5
    • Xu, Z.1    Gu, I.-H.2    Shi, P.3
  • 51
    • 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 Recogn. Lett. 27 7 2006 773 780
    • (2006) Pattern Recogn. Lett. , vol.27 , Issue.7 , pp. 773-780
    • Zivkovic, Z.1    Van Der Heijden, F.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.