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Volumn 20, Issue 3, 2013, Pages 201-216

Integrating a statistical background-foreground extraction algorithm and SVM classifier for pedestrian detection and tracking

Author keywords

background modeling; Camshift; foreground extraction; Kalman filter; Pedestrian detection; pedestrian tracking; SVM

Indexed keywords

BACKGROUND MODELING; CAMSHIFT; FOREGROUND EXTRACTION; PEDESTRIAN DETECTION; PEDESTRIAN TRACKING; SVM;

EID: 84878844662     PISSN: 10692509     EISSN: 18758835     Source Type: Journal    
DOI: 10.3233/ICA-130428     Document Type: Conference Paper
Times cited : (62)

References (45)
  • 1
    • 84878872184 scopus 로고    scopus 로고
    • Website: http://www. cvg. rdg. ac. uk/slides/pets. html.
  • 2
    • 84878840364 scopus 로고    scopus 로고
    • Website: http://groups. inf. ed. ac. uk/vision/BEHAVEDATA/ INTERACTIONS/index. html.
  • 3
    • 84878889066 scopus 로고    scopus 로고
    • Website: http://homepages. inf. ed. ac. uk/rbf/CAVIARDATA1/.
  • 4
    • 84878840719 scopus 로고    scopus 로고
    • Website: http://pascal. inrialpes. fr/data/human/.
  • 5
    • 84878857980 scopus 로고    scopus 로고
    • Website: http://cbcl. mit. edu/softwaredatasets/PedestrianData. html/.
  • 6
    • 84863715007 scopus 로고    scopus 로고
    • Reconstruction of occluded facial images using asymmetrical principal component analysis
    • M. Al-Naser and U. Soderstrom, Reconstruction of occluded facial images using asymmetrical principal component analysis, Integrated Computer-Aided Engineering 19(3) (2012), 273-283.
    • (2012) Integrated Computer-Aided Engineering , vol.19 , Issue.3 , pp. 273-283
    • Al-Naser, M.1    Soderstrom, U.2
  • 7
    • 84922000549 scopus 로고    scopus 로고
    • Computer Vision Face Tracking as a Component of a Perceptual User Interface
    • G. R. Bradski, Computer Vision Face Tracking as a Component of a Perceptual User Interface, in: Proc. IEEE Workshop Applications of Computer Vision, 1998, pp. 214-219.
    • (1998) Proc. IEEE Workshop Applications of Computer Vision , pp. 214-219
    • Bradski, G.R.1
  • 9
    • 33646855413 scopus 로고    scopus 로고
    • Flexible background mixture models for foreground segmentation
    • J. Cheng, J. Yang, Y. Zhou and Y. Cui, Flexible background mixture models for foreground segmentation, Image and Vision Computing 24 (2006), 473-482.
    • (2006) Image and Vision Computing , vol.24 , pp. 473-482
    • Cheng, J.1    Yang, J.2    Zhou, Y.3    Cui, Y.4
  • 10
    • 66849104300 scopus 로고    scopus 로고
    • On-line expectation-maximization algorithm for latent data models
    • O. Cappe, and E. Moulines, On-line expectation-maximization algorithm for latent data models, J R Stat Soc Series B Stat Methodol 71 (2009), 593-613.
    • (2009) J R Stat Soc Series B Stat Methodol , vol.71 , pp. 593-613
    • Cappe, O.1    Moulines, E.2
  • 11
    • 34249753618 scopus 로고
    • Support vector network
    • C. Cortes and V. Vapnik, Support vector network, Machines Learning, 20(3) (1995), 273-297.
    • (1995) Machines Learning , vol.20 , Issue.3 , pp. 273-297
    • Cortes, C.1    Vapnik, V.2
  • 20
    • 79953312468 scopus 로고    scopus 로고
    • Automatic image search based on improved feature descriptors and decision tree
    • J. Hou, Z. Chen, X. Qin and D. Zhang, Automatic image search based on improved feature descriptors and decision tree, Integrated Computer-Aided Engineering 18(2) (2011), 167-180.
    • (2011) Integrated Computer-Aided Engineering , vol.18 , Issue.2 , pp. 167-180
    • Hou, J.1    Chen, Z.2    Qin, X.3    Zhang, D.4
  • 21
    • 36348968443 scopus 로고    scopus 로고
    • A Mutiple-hypothesis approach for multiobject visual tracking
    • S. Joo and R. Chellappa, A Mutiple-hypothesis approach for multiobject visual tracking, IEEE Transactions on Image Processing 16(11) (2007), 2849-2854.
    • (2007) IEEE Transactions on Image Processing , vol.16 , Issue.11 , pp. 2849-2854
    • Joo, S.1    Chellappa, R.2
  • 22
    • 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), 167-256.
    • (2005) Real-time Imaging , vol.11 , Issue.3 , pp. 167-256
    • Kim, K.1    Chalidabhongse, T.H.2    Harwood, D.3    Davis, L.4
  • 24
    • 79952437140 scopus 로고    scopus 로고
    • Online background learning for illumination-robust foreground detection
    • D. Li, L. Xu and E. Goodman, Online background learning for illumination-robust foreground detection, in: Proc. 11th ICARCV, 2010, pp. 1093-1100.
    • (2010) Proc. 11th ICARCV , pp. 1093-1100
    • Li, D.1    Xu, L.2    Goodman, E.3
  • 25
    • 58149494499 scopus 로고    scopus 로고
    • Integrating a mixed-feature model and multiclass support vector machine for facial expression recognition
    • D. T. Lin and D. C. Pan, Integrating a mixed-feature model and multiclass support vector machine for facial expression recognition, Integrated Computer-Aided Engineering 16(1) (2009), 61-74.
    • (2009) Integrated Computer-Aided Engineering , vol.16 , Issue.1 , pp. 61-74
    • Lin, D.T.1    Pan, D.C.2
  • 26
    • 84891846576 scopus 로고    scopus 로고
    • On-line em variants for multivariate normal mixture model in background learning and moving foreground detection
    • DOI: 10. 1007/s10851-012-0403-6
    • D. Li, L. Xu and E. Goodman, On-line EM variants for multivariate normal mixture model in background learning and moving foreground detection, J Math Imaging Vis, DOI: 10. 1007/s10851-012-0403-6, 2012.
    • (2012) J Math Imaging Vis
    • Li, D.1    Xu, L.2    Goodman, E.3
  • 27
  • 29
    • 67649987087 scopus 로고    scopus 로고
    • Pedestrian detection using 3D optical flow sequences for a mobile robot
    • T. Nakada, S. Kagami and H. Mizoguchi, Pedestrian detection using 3D optical flow sequences for a mobile robot, in:Proc. IEEE Conf. Sensors, 2008, pp. 776-779.
    • Proc. IEEE Conf. Sensors , vol.2008 , pp. 776-779
    • Nakada, T.1    Kagami, S.2    Mizoguchi, H.3
  • 32
    • 84867093444 scopus 로고    scopus 로고
    • Unsupervised markerless 3DOF motion tracking in real-time using a single low-budget camera
    • L. Quesada and A. Leon, Unsupervised markerless 3DOF motion tracking in real-time using a single low-budget camera, International Journal of Neural Systems 22(5) (2012), 1250019.
    • (2012) International Journal of Neural Systems , vol.22 , Issue.5 , pp. 1250019
    • Quesada, L.1    Leon, A.2
  • 37
    • 0034244889 scopus 로고    scopus 로고
    • Learning patterns of activity using real-time tracking
    • C. Stauffer and W. E. Grimson, Learning patterns of activity using real-time tracking, IEEE Trans Pattern Anal Mach Intell 22(8) (2000), 747-757.
    • (2000) IEEE Trans Pattern Anal Mach Intell , vol.22 , Issue.8 , pp. 747-757
    • Stauffer, C.1    Grimson, W.E.2
  • 38
    • 84863646816 scopus 로고    scopus 로고
    • Improving fusion with optimal weight selection in face recognition
    • Q. D. Tran and P. Liatsis, Improving fusion with optimal weight selection in face recognition, Integrated Computer-Aided Engineering, 19(3) (2012), 229-237.
    • (2012) Integrated Computer-Aided Engineering , vol.19 , Issue.3 , pp. 229-237
    • Tran, Q.D.1    Liatsis, P.2
  • 42
    • 79952591316 scopus 로고    scopus 로고
    • High order computational scheme for a dynamic continuum model for bi-directional pedestrian flows
    • T. Xiong, M. Zhang, C. Shu, S. C. Wong and P. Zhang, High order computational scheme for a dynamic continuum model for bi-directional pedestrian flows, Computer-Aided Civil and Infrastructure Engineering 26(4) (2011), 298-310.
    • (2011) Computer-Aided Civil and Infrastructure Engineering , vol.26 , Issue.4 , pp. 298-310
    • Xiong, T.1    Zhang, M.2    Shu, C.3    Wong, S.C.4    Zhang, P.5
  • 44
    • 77951560201 scopus 로고    scopus 로고
    • Protein subcellular multi-localization prediction using a min-max modular support vector machine
    • Y. Yang and B. L. Lu, Protein subcellular multi-localization prediction using a min-max modular support vector machine, International Journal of Neural Systems 20(1) (2010), 13-28.
    • (2010) International Journal of Neural Systems , vol.20 , Issue.1 , pp. 13-28
    • Yang, Y.1    Lu, B.L.2
  • 45
    • 10044240378 scopus 로고    scopus 로고
    • Improved adaptive gaussian mixture model for background subtraction
    • Z. Zivkovic, Improved adaptive gaussian mixture model for background subtraction, in: Proc. 17th Int. Conf. Pattern Recognition, 2004, pp. 28-31.
    • (2004) Proc. 17th Int. Conf. Pattern Recognition , pp. 28-31
    • Zivkovic, Z.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.