메뉴 건너뛰기




Volumn 36, Issue 4, 2014, Pages 756-769

Preserving structure in model-free tracking

Author keywords

Model free tracking; multiple object tracking; online learning; structured SVM

Indexed keywords

TRACKING (POSITION);

EID: 84897561944     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPAMI.2013.221     Document Type: Article
Times cited : (139)

References (76)
  • 10
    • 33846013241 scopus 로고    scopus 로고
    • Object tracking: A survey
    • article 13
    • A. Yilmaz, O. Javed, and M. Shah, "Object Tracking: A Survey," ACM Computing Surveys, vol. 38, no. 4, article 13, 2006.
    • (2006) ACM Computing Surveys , vol.38 , Issue.4
    • Yilmaz, A.1    Javed, O.2    Shah, M.3
  • 14
    • 0015567825 scopus 로고
    • The representation and matching of pictorial structures
    • Jan.
    • M. Fischler and R. Elschlager, "The Representation and Matching of Pictorial Structures," IEEE Trans. Computers, vol. C-22, no. 1, pp. 67-92, Jan. 1973.
    • (1973) IEEE Trans. Computers , vol.C-22 , Issue.1 , pp. 67-92
    • Fischler, M.1    Elschlager, R.2
  • 15
    • 84856684024 scopus 로고    scopus 로고
    • Strong supervison from weak annotation: Interactive training of deformable part models
    • S. Branson, P. Perona, and S. Belongie, "Strong Supervison from Weak Annotation: Interactive Training of Deformable Part Models," Proc. IEEE Int'l Conf. Computer Vision, pp. 1832-1839, 2011.
    • (2011) Proc. IEEE Int'l Conf. Computer Vision , pp. 1832-1839
    • Branson, S.1    Perona, P.2    Belongie, S.3
  • 17
    • 80053330652 scopus 로고    scopus 로고
    • Recent advances and trends in visual tracking: A review
    • H. Yang, L. Shao, F. Zheng, L. Wang, and Z. Song, "Recent Advances and Trends in Visual Tracking: A Review," Neurocomputing, vol. 74, no. 18, pp. 3823-3831, 2011.
    • (2011) Neurocomputing , vol.74 , Issue.18 , pp. 3823-3831
    • Yang, H.1    Shao, L.2    Zheng, F.3    Wang, L.4    Song, Z.5
  • 19
    • 33845576658 scopus 로고    scopus 로고
    • An adaptive appearance model approach for model-based articulated object tracking
    • A. Balan and M. Black, "An Adaptive Appearance Model Approach for Model-Based Articulated Object Tracking," Proc. IEEE Conf. Computer Vision and Pattern Recognition, vol. 1, pp. 758-765, 2006.
    • (2006) Proc. IEEE Conf. Computer Vision and Pattern Recognition , vol.1 , pp. 758-765
    • Balan, A.1    Black, M.2
  • 20
    • 0031651559 scopus 로고    scopus 로고
    • Eigentracking: Robust matching and tracking of articulated objects using a view-based representation
    • M.J. Black and A.D. Jepson, "Eigentracking: Robust Matching and Tracking of Articulated Objects Using a View-Based Representation," Intl J. Computer Vision, vol. 26, no. 1, pp. 63-84, 1998.
    • (1998) Intl J. Computer Vision , vol.26 , Issue.1 , pp. 63-84
    • Black, M.J.1    Jepson, A.D.2
  • 21
    • 39749173057 scopus 로고    scopus 로고
    • Incremental learning for robust visual tracking
    • D. Ross, J. Lim, R.-S. Lin, and M.-H. Yuang, "Incremental Learning for Robust Visual Tracking," Intl J. Computer Vision, vol. 77, no. 1, pp. 125-141, 2008.
    • (2008) Intl J. Computer Vision , vol.77 , Issue.1 , pp. 125-141
    • Ross, D.1    Lim, J.2    Lin, R.-S.3    Yuang, M.-H.4
  • 27
    • 45549088404 scopus 로고    scopus 로고
    • Automatic feature localisation with constrained local models
    • D. Cristinacce and T.F. Cootes, "Automatic Feature Localisation with Constrained Local Models," Pattern Recognition, vol. 41, no. 10, pp. 3054-3067, 2008.
    • (2008) Pattern Recognition , vol.41 , Issue.10 , pp. 3054-3067
    • Cristinacce, D.1    Cootes, T.F.2
  • 29
    • 0019647180 scopus 로고
    • An iterative image registration technique with an application to stereo vision
    • B.D. Lucas and T. Kanade, "An Iterative Image Registration Technique with an Application to Stereo Vision," Proc. Int'l Joint Conf. Artificial Intelligence, vol. 81, pp. 674-679, 1981.
    • (1981) Proc. Int'l Joint Conf. Artificial Intelligence , vol.81 , pp. 674-679
    • Lucas, B.D.1    Kanade, T.2
  • 30
    • 51149105031 scopus 로고    scopus 로고
    • Particle video: Long-range motion estimation using point trajectories
    • P. Sand and S. Teller, "Particle Video: Long-Range Motion Estimation Using Point Trajectories," Intl J. Computer Vision, vol. 80, no. 1, pp. 72-91, 2008.
    • (2008) Intl J. Computer Vision , vol.80 , Issue.1 , pp. 72-91
    • Sand, P.1    Teller, S.2
  • 32
    • 77955985841 scopus 로고    scopus 로고
    • Real-time tracking of multiple occluding objects using level sets
    • C. Bibby and I. Reid, "Real-Time Tracking of Multiple Occluding Objects Using Level Sets," Proc. European Conf. Computer Vision, 2010.
    • (2010) Proc. European Conf. Computer Vision
    • Bibby, C.1    Reid, I.2
  • 33
    • 0032136153 scopus 로고    scopus 로고
    • Condensation-conditional density propagation for visual tracking
    • M. Isard and A. Blake, "Condensation-Conditional Density Propagation for Visual Tracking," Int'l J. Computer Vision, vol. 29, no. 1, pp. 5-28, 1998.
    • (1998) Int'l J. Computer Vision , vol.29 , Issue.1 , pp. 5-28
    • Isard, M.1    Blake, A.2
  • 36
    • 80053126093 scopus 로고    scopus 로고
    • Robust visual tracking and vehicle classification via sparse representation
    • Nov.
    • X. Mei and H. Ling, "Robust Visual Tracking and Vehicle Classification via Sparse Representation," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 33, no. 11, pp. 2259-2272, Nov. 2011.
    • (2011) IEEE Trans. Pattern Analysis and Machine Intelligence , vol.33 , Issue.11 , pp. 2259-2272
    • Mei, X.1    Ling, H.2
  • 39
    • 33745178491 scopus 로고    scopus 로고
    • Decentralized multiple target tracking using netted collaborative autonomous trackers
    • T. Yu and Y. Wu, "Decentralized Multiple Target Tracking Using Netted Collaborative Autonomous Trackers," Proc. IEEE Conf. Computer Vision and Pattern Recognition, 2005.
    • (2005) Proc. IEEE Conf. Computer Vision and Pattern Recognition
    • Yu, T.1    Wu, Y.2
  • 42
    • 84867862722 scopus 로고    scopus 로고
    • Group tracking: Exploring mutual relations for multiple object tracking
    • G. Duan, H. Ai, S. Cao, and S. Lao, "Group Tracking: Exploring Mutual Relations for Multiple Object Tracking," Proc. European Conf. Computer Vision, pp. 129-143, 2012.
    • (2012) Proc. European Conf. Computer Vision , pp. 129-143
    • Duan, G.1    Ai, H.2    Cao, S.3    Lao, S.4
  • 47
    • 56749183295 scopus 로고    scopus 로고
    • Key object driven multi-category object recognition, localization and tracking using spatio-temporal context
    • Y. Li and R. Nevatia, "Key Object Driven Multi-Category Object Recognition, Localization and Tracking Using Spatio-Temporal Context," Proc. European Conf. Computer Vision, pp. 409-422, 2008.
    • (2008) Proc. European Conf. Computer Vision , pp. 409-422
    • Li, Y.1    Nevatia, R.2
  • 55
    • 84867846313 scopus 로고    scopus 로고
    • Detecting actions, poses, and objects with relational phraselets
    • C. Desai and D. Ramanan, "Detecting Actions, Poses, and Objects with Relational Phraselets," Proc. European Conf. Computer Vision, pp. 158-172, 2012.
    • (2012) Proc. European Conf. Computer Vision , pp. 158-172
    • Desai, C.1    Ramanan, D.2
  • 58
    • 84933530882 scopus 로고
    • Approximating discrete probability distributions with dependence trees
    • May
    • C. Chow and C. Liu, "Approximating Discrete Probability Distributions with Dependence Trees," IEEE Trans. Information Theory, vol. IT-14, no. 3, pp. 462-467, May 1968.
    • (1968) IEEE Trans. Information Theory , vol.IT-14 , Issue.3 , pp. 462-467
    • Chow, C.1    Liu, C.2
  • 60
    • 0142192295 scopus 로고    scopus 로고
    • Conditional random fields: Probabilistic models for segmenting and labeling sequence data
    • J. Lafferty, A. McCallum, and F. Pereira, "Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data," Proc. 18th Int'l Conf. Machine Learning, pp. 282-289, 2001.
    • (2001) Proc. 18th Int'l Conf. Machine Learning , pp. 282-289
    • Lafferty, J.1    McCallum, A.2    Pereira, F.3
  • 62
    • 56749161572 scopus 로고    scopus 로고
    • Learning to localize objects with structured output regression
    • M. Blaschko and C. Lampert, "Learning to Localize Objects with Structured Output Regression," Proc. European Conf. Computer Vision, pp. 2-15, 2008.
    • (2008) Proc. European Conf. Computer Vision , pp. 2-15
    • Blaschko, M.1    Lampert, C.2
  • 64
    • 85127836544 scopus 로고    scopus 로고
    • Discriminative training methods for hidden markov models: Theory and experiments with perceptron algorithms
    • M. Collins, "Discriminative Training Methods for Hidden Markov Models: Theory and Experiments with Perceptron Algorithms," Proc. ACL-02 Conf. Empirical Methods in Natural Language Processing, vol. 10, pp. 1-8, 2002.
    • (2002) Proc. ACL-02 Conf. Empirical Methods in Natural Language Processing , vol.10 , pp. 1-8
    • Collins, M.1
  • 65
    • 84859459624 scopus 로고    scopus 로고
    • Hidden-unit conditional random fields
    • L. van der Maaten, M. Welling, and L.K. Saul, "Hidden-Unit Conditional Random Fields," JMLR W&CP, vol. 15, pp. 479-488, 2011.
    • (2011) JMLR W&CP , vol.15 , pp. 479-488
    • Maaten Der L.Van1    Welling, M.2    Saul, L.K.3
  • 66
    • 0013309537 scopus 로고    scopus 로고
    • Online algorithms and stochastic approximations
    • Cambridge Univ. Press
    • L. Bottou, "Online Algorithms and Stochastic Approximations," Online Learning and Neural Networks. Cambridge Univ. Press, 1998.
    • (1998) Online Learning and Neural Networks
    • Bottou, L.1
  • 69
    • 0003243224 scopus 로고    scopus 로고
    • Probabilistic outputs for support vector machines and comparison to regularized likelihood methods
    • MIT Press
    • J.C. Platt, "Probabilistic Outputs for Support Vector Machines and Comparison to Regularized Likelihood Methods," Advances in Large Margin Classifiers, MIT Press, 1999.
    • (1999) Advances in Large Margin Classifiers
    • Platt, J.C.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.