메뉴 건너뛰기




Volumn 22, Issue 12, 2013, Pages 4664-4677

Real-time object tracking via online discriminative feature selection

Author keywords

multiple instance learning; Object tracking; online boosting; supervised learning

Indexed keywords

DISCRIMINATIVE CLASSIFIERS; DISCRIMINATIVE FEATURES; EXPERIMENTAL EVALUATION; MULTIPLE INSTANCE LEARNING; OBJECT TRACKING; ON-LINE BOOSTING; REAL-TIME OBJECT TRACKING; STATE-OF-THE-ART ALGORITHMS;

EID: 84884832249     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2013.2277800     Document Type: Article
Times cited : (168)

References (38)
  • 1
    • 84957571898 scopus 로고    scopus 로고
    • Eigen tracking: Robust matching and tracking of articulated objects using a view-based representation
    • Computer Vision - ECCV '96
    • M. Black and A. Jepson, "EigenTracking: Robust matching and tracking of articulated objects using a view-based representation," in Proc. Eur. Conf. Comput. Vis., Apr. 1996, pp. 329-342. (Pubitemid 126064334)
    • (1996) Lecture Notes in Computer Science , Issue.1064 , pp. 329-342
    • Black, M.J.1    Jepson, A.D.2
  • 2
    • 0142134976 scopus 로고    scopus 로고
    • Robust online appearance models for visual tracking
    • Oct.
    • A. Jepson, D. Fleet, and T. El-Maraghi, "Robust online appearance models for visual tracking," IEEE Trans. Pattern Anal. Mach. Intell., vol. 25, no. 10, pp. 1296-1311, Oct. 2003.
    • (2003) IEEE Trans. Pattern Anal. Mach. Intell. , vol.25 , Issue.10 , pp. 1296-1311
    • Jepson, A.1    Fleet, D.2    El-Maraghi, T.3
  • 3
    • 3242681758 scopus 로고    scopus 로고
    • Support vector tracking
    • Aug.
    • S. Avidan, "Support vector tracking," IEEE Trans. Pattern Anal. Mach. Intell., vol. 29, no. 8, pp. 1064-1072, Aug. 2004.
    • (2004) IEEE Trans. Pattern Anal. Mach. Intell. , vol.29 , Issue.8 , pp. 1064-1072
    • Avidan, S.1
  • 5
    • 24644460695 scopus 로고    scopus 로고
    • Tracking non-stationary appearances and dynamic feature selection
    • Jun.
    • M. Yang and Y. Wu, "Tracking non-stationary appearances and dynamic feature selection," in Proc. IEEE Conf. Soc. Conf. CVPR, Jun. 2005, pp. 1059-1066.
    • (2005) Proc. IEEE Conf. Soc. Conf. CVPR , pp. 1059-1066
    • Yang, M.1    Wu, Y.2
  • 6
    • 33845596140 scopus 로고    scopus 로고
    • Robust fragments-based tracking using the integral histogram
    • Jun.
    • A. Adam, E. Rivlin, and I. Shimshoni, "Robust fragments-based tracking using the integral histogram," in Proc. Comput. Soc. Conf. IEEE CVPR, Jun. 2006, pp. 789-805.
    • (2006) Proc. Comput. Soc. Conf. IEEE CVPR , pp. 789-805
    • Adam, A.1    Rivlin, E.2    Shimshoni, I.3
  • 7
    • 84898020313 scopus 로고    scopus 로고
    • Real-time tracking via online boosting
    • H. Grabner, M. Grabner, and H. Bischof, "Real-time tracking via online boosting," in Proc. BMVC, 2006, pp. 47-56.
    • (2006) Proc. BMVC , pp. 47-56
    • Grabner, H.1    Grabner, M.2    Bischof, H.3
  • 9
    • 39749173057 scopus 로고    scopus 로고
    • Incremental learning for robust visual tracking
    • DOI 10.1007/s11263-007-0075-7, Special issue on Machine Learning for Vision, Guest Editors: William Freeman, Pietro Perona and Bernhard Scholkopf
    • D. Ross, J. Lim, R.-S. Lin, and M.-H. Yang, "Incremental learning for robust visual tracking," Int. J. Comput. Vis., vol. 77, no. 1, pp. 125-141, May 2008. (Pubitemid 351294740)
    • (2008) International Journal of Computer Vision , vol.77 , Issue.1-3 , pp. 125-141
    • Ross, D.A.1    Lim, J.2    Lin, R.-S.3    Yang, M.-H.4
  • 10
    • 56749152262 scopus 로고    scopus 로고
    • Semi-supervised on-line boosting for robust tracking
    • Oct.
    • H. Grabner, C. Leistner, and H. Bischof, "Semi-supervised on-line boosting for robust tracking," in Proc. ECCV, Oct. 2008, pp. 234-247.
    • (2008) Proc. ECCV , pp. 234-247
    • Grabner, H.1    Leistner, C.2    Bischof, H.3
  • 11
    • 85097586621 scopus 로고    scopus 로고
    • Robust visual tracking using l1 minimization
    • Oct.
    • X. Mei and H. Ling, "Robust visual tracking using l1 minimization," in Proc. IEEE 12th Int. Conf. Comput. Vis., Oct. 2009, pp. 1436-1443.
    • (2009) Proc. IEEE 12th Int. Conf. Comput. Vis , pp. 1436-1443
    • Mei, X.1    Ling, H.2
  • 12
    • 77956005443 scopus 로고    scopus 로고
    • P-N learning: Bootstrapping binary classifier by structural constraints
    • Jun.
    • Z. Kalal, J. Matas, and K. Mikolajczyk, "P-N learning: Bootstrapping binary classifier by structural constraints," in Proc. IEEE Conf. CVPR, Jun. 2010, pp. 49-56.
    • (2010) Proc. IEEE Conf. CVPR , pp. 49-56
    • Kalal, Z.1    Matas, J.2    Mikolajczyk, K.3
  • 14
    • 84856659290 scopus 로고    scopus 로고
    • Struck: Structured output tracking with kernels
    • Nov.
    • S. Hare, A. Saffari, and P. Torr, "Struck: Structured output tracking with kernels," in Proc. IEEE ICCV, Nov. 2011, pp. 263-270.
    • (2011) Proc. IEEE ICCV , pp. 263-270
    • Hare, S.1    Saffari, A.2    Torr, P.3
  • 15
    • 79959527478 scopus 로고    scopus 로고
    • Robust object tracking with online multiple instance learning
    • Aug.
    • B. Babenko, M.-H. Yang, and S. Belongie, "Robust object tracking with online multiple instance learning," IEEE Trans. Pattern Anal. Mach. Intell., vol. 33, no. 8, pp. 1619-1632, Aug. 2011.
    • (2011) IEEE Trans. Pattern Anal. Mach. Intell. , vol.33 , Issue.8 , pp. 1619-1632
    • Babenko, B.1    Yang, M.-H.2    Belongie, S.3
  • 16
    • 84863049929 scopus 로고    scopus 로고
    • Tracking by sampling trackers
    • Nov.
    • J. Kwon and K. Lee, "Tracking by sampling trackers," in Proc. IEEE ICCV, Nov. 2011, pp. 1195-1202.
    • (2011) Proc. IEEE ICCV , pp. 1195-1202
    • Kwon, J.1    Lee, K.2
  • 17
    • 84867872820 scopus 로고    scopus 로고
    • Real-time compressive tracking
    • Oct.
    • K. Zhang, L. Zhang, and M.-H. Yang, "Real-time compressive tracking," in Proc. ECCV, Oct. 2012, pp. 864-877.
    • (2012) Proc. ECCV , pp. 864-877
    • Zhang, K.1    Zhang, L.2    Yang, M.-H.3
  • 18
    • 77955995205 scopus 로고    scopus 로고
    • Visual tracking decomposition
    • Jun.
    • J. Kwon and K. Lee, "Visual tracking decomposition," in Proc. IEEE Conf. CVPR, Jun. 2010, pp. 1269-1276.
    • (2010) Proc. IEEE Conf. CVPR , pp. 1269-1276
    • Kwon, J.1    Lee, K.2
  • 19
    • 0038166193 scopus 로고    scopus 로고
    • Database-friendly random projections: Johnson-Lindenstrauss with binary coins
    • Jun.
    • D. Achlioptas, "Database-friendly random projections: Johnson-Lindenstrauss with binary coins," J. Comput. Syst. Sci., vol. 66, no. 4, pp. 671-687, Jun. 2003.
    • (2003) J. Comput. Syst. Sci. , vol.66 , Issue.4 , pp. 671-687
    • Achlioptas, D.1
  • 20
    • 33947416035 scopus 로고    scopus 로고
    • Near-optimal signal recovery from random projections: Universal encoding strategies?
    • DOI 10.1109/TIT.2006.885507
    • E. Candes and T. Tao, "Near optimal signal recovery from random projections and universal encoding strategies," IEEE Trans. Inf. Theory, vol. 52, no. 12, pp. 5406-5425, Dec. 2006. (Pubitemid 46445381)
    • (2006) IEEE Transactions on Information Theory , vol.52 , Issue.12 , pp. 5406-5425
    • Candes, E.J.1    Tao, T.2
  • 21
    • 78149323480 scopus 로고    scopus 로고
    • MIForests: Multiple-instance learning with randomized trees
    • Sep.
    • C. Leistner, A. Saffari, and H. Bischof, "MIForests: Multiple-instance learning with randomized trees," in Proc. ECCV, Sep. 2010, pp. 29-42.
    • (2010) Proc. ECCV , pp. 29-42
    • Leistner, C.1    Saffari, A.2    Bischof, H.3
  • 22
    • 77955991184 scopus 로고    scopus 로고
    • On-line semi-supervised multiple-instance boosting
    • Jun.
    • C. Leistner, A. Saffari, and H. Bischof, "on-line semi-supervised multiple-instance boosting," in Proc. IEEE Conf. CVPR, Jun. 2010, pp. 1879-1886.
    • (2010) Proc. IEEE Conf. CVPR , pp. 1879-1886
    • Leistner, C.1    Saffari, A.2    Bischof, H.3
  • 23
    • 84864049528 scopus 로고    scopus 로고
    • Multiple instance boosting for object detection
    • New York, NY, USA: Springer-Verlag
    • P. Viola, J. Platt, and C. Zhang, "Multiple instance boosting for object detection," in Advances in Neural Information Processing Systems. New York, NY, USA: Springer-Verlag, 2005, pp. 1417-1426.
    • (2005) Advances in Neural Information Processing Systems , pp. 1417-1426
    • Viola, P.1    Platt, J.2    Zhang, C.3
  • 26
    • 59549087165 scopus 로고    scopus 로고
    • On discriminative vs generative classifier: A comparison of logistic regression and naive bayes
    • New York, NY, USA: Springer-Verlag
    • A. Ng and M. Jordan, "On discriminative vs. generative classifier: A comparison of logistic regression and naive bayes," in Advances in Neural Information Processing Systems. New York, NY, USA: Springer-Verlag, 2002, pp. 841-848.
    • (2002) Advances in Neural Information Processing Systems , pp. 841-848
    • Ng, A.1    Jordan, M.2
  • 27
    • 84866051181 scopus 로고    scopus 로고
    • Real-time visual tracking via online weighted multiple instance learning
    • Jan.
    • K. Zhang and H. Song, "Real-time visual tracking via online weighted multiple instance learning," Pattern Recognit., vol. 46, no. 1, pp. 397-411, Jan. 2013.
    • (2013) Pattern Recognit. , vol.46 , Issue.1 , pp. 397-411
    • Zhang, K.1    Song, H.2
  • 29
    • 0035470889 scopus 로고    scopus 로고
    • Greedy function approximation: A gradient boosting machine
    • J. Friedman, "Greedy function approximation: A gradient boosting machine," Ann. Stat., vol. 29, no. 5, pp. 1189-1232, Oct. 2001. (Pubitemid 33405972)
    • (2001) Annals of Statistics , vol.29 , Issue.5 , pp. 1189-1232
    • Friedman, J.H.1
  • 32
    • 10044239185 scopus 로고    scopus 로고
    • Probabilistic tracking with adaptive feature selection
    • Aug.
    • T. L. H. Chen and C. Fuh, "Probabilistic tracking with adaptive feature selection," in Proc. IEEE 17th ICPR, vol. 2. Aug. 2004, pp. 736-739.
    • (2004) Proc. IEEE 17th ICPR , vol.2 , pp. 736-739
    • Chen, T.L.H.1    Fuh, C.2
  • 34
    • 77949908278 scopus 로고    scopus 로고
    • Online discriminative feature selection in a bayesian framework using shape and appearance
    • A. Dore, M. Asadi, and C. Regazzoni, "Online discriminative feature selection in a bayesian framework using shape and appearance," in Proc. 8th Int. Workshop VS, 2008.
    • (2008) Proc. 8th Int. Workshop VS
    • Dore, A.1    Asadi, M.2    Regazzoni, C.3
  • 35
    • 35148821899 scopus 로고    scopus 로고
    • Target tracking with online feature selection in FLIR imagery
    • Jun.
    • V. Venkataraman, G. Fan, and X. Fan, "Target tracking with online feature selection in FLIR imagery," in Proc. IEEE Conf. CVPR, Jun. 2007, pp. 1-8.
    • (2007) Proc. IEEE Conf. CVPR , pp. 1-8
    • Venkataraman, V.1    Fan, G.2    Fan, X.3
  • 36
    • 24644473705 scopus 로고    scopus 로고
    • Online selecting discriminative tracking features using particle filter
    • Jun.
    • Y. Wang, L. Chen, and W. Gao, "Online selecting discriminative tracking features using particle filter," in Proc. IEEE Conf. CVPR, vol. 2. Jun. 2005, pp. 1037-1042.
    • (2005) Proc. IEEE Conf. CVPR , vol.2 , pp. 1037-1042
    • Wang, Y.1    Chen, L.2    Gao, W.3
  • 37
    • 50649114155 scopus 로고    scopus 로고
    • Gradient feature selection for online boosting
    • Oct.
    • X. Liu and T. Yu, "Gradient feature selection for online boosting," in Proc. IEEE 11th ICCV, Oct. 2007, pp. 1-8.
    • (2007) Proc. IEEE 11th ICCV , pp. 1-8
    • Liu, X.1    Yu, T.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.