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Volumn , Issue , 2013, Pages 2411-2418

Online object tracking: A benchmark

Author keywords

[No Author keywords available]

Indexed keywords

EFFECTIVE APPROACHES; EVALUATION AND ANALYSIS; EVALUATION CRITERIA; FUTURE RESEARCH DIRECTIONS; LARGE SCALE EXPERIMENTS; ONLINE OBJECT TRACKING; QUANTITATIVE RESULT; STATE OF THE ART;

EID: 84887348427     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2013.312     Document Type: Conference Paper
Times cited : (4426)

References (65)
  • 1
    • 33845596140 scopus 로고    scopus 로고
    • Robust fragments-based tracking using the integral histogram
    • A. Adam, E. Rivlin, and I. Shimshoni. Robust Fragments-based Tracking using the Integral Histogram. In CVPR, 2006.
    • (2006) CVPR
    • Adam, A.1    Rivlin, E.2    Shimshoni, I.3
  • 2
    • 77955986488 scopus 로고    scopus 로고
    • Rapid selection of reliable templates for visual tracking
    • N. Alt, S. Hinterstoisser, and N. Navab. Rapid Selection of Reliable Templates for Visual Tracking. In CVPR, 2010.
    • (2010) CVPR
    • Alt, N.1    Hinterstoisser, S.2    Navab, N.3
  • 3
    • 3242681758 scopus 로고    scopus 로고
    • Support vector tracking
    • S. Avidan. Support Vector Tracking. PAMI, 26(8):1064-1072, 2004.
    • (2004) PAMI , vol.26 , Issue.8 , pp. 1064-1072
    • Avidan, S.1
  • 4
    • 33947229323 scopus 로고    scopus 로고
    • Ensemble tracking
    • S. Avidan. Ensemble Tracking. PAMI, 29(2):261-271, 2008.
    • (2008) PAMI , vol.29 , Issue.2 , pp. 261-271
    • Avidan, S.1
  • 5
    • 70450188146 scopus 로고    scopus 로고
    • Visual tracking with online multiple instance learning
    • B. Babenko, M.-H. Yang, and S. Belongie. Visual Tracking with Online Multiple Instance Learning. In CVPR, 2009.
    • (2009) CVPR
    • Babenko, B.1    Yang, M.-H.2    Belongie, S.3
  • 6
    • 79959527478 scopus 로고    scopus 로고
    • Robust object tracking with online multiple instance learning
    • B. Babenko, M.-H. Yang, and S. Belongie. Robust Object Tracking with Online Multiple Instance Learning. PAMI, 33(7):1619-1632, 2011.
    • (2011) PAMI , vol.33 , Issue.7 , pp. 1619-1632
    • Babenko, B.1    Yang, M.-H.2    Belongie, S.3
  • 7
    • 84866644771 scopus 로고    scopus 로고
    • Robust tracking via weakly supervised ranking svm
    • Y. Bai and M. Tang. Robust Tracking via Weakly Supervised Ranking SVM. In CVPR, 2012.
    • (2012) CVPR
    • Bai, Y.1    Tang, M.2
  • 8
    • 1542285823 scopus 로고    scopus 로고
    • Lucas-kanade 20 years on: A unifying framework
    • S. Baker and I. Matthews. Lucas-Kanade 20 Years On: A Unifying Framework. IJCV, 56(3):221-255, 2004.
    • (2004) IJCV , vol.56 , Issue.3 , pp. 221-255
    • Baker, S.1    Matthews, I.2
  • 10
    • 84866285609 scopus 로고    scopus 로고
    • Real time robust l1 tracker using accelerated proximal gradient approach
    • C. Bao, Y. Wu, H. Ling, and H. Ji. Real Time Robust L1 Tracker Using Accelerated Proximal Gradient Approach. In CVPR, 2012.
    • (2012) CVPR
    • Bao, C.1    Wu, Y.2    Ling, H.3    Ji, H.4
  • 11
    • 0031651559 scopus 로고    scopus 로고
    • Eigen tracking: Robust matching and tracking of articulated objects using a view-based representation
    • M. J. Black. EigenTracking: Robust Matching and Tracking of Articulated Objects Using a View-Based Representation. IJCV, 26(1):63-84, 1998.
    • (1998) IJCV , vol.26 , Issue.1 , pp. 63-84
    • Black, M.J.1
  • 12
    • 72149129130 scopus 로고    scopus 로고
    • Technical Report CSE-2008-07, York University, Canada
    • K. Cannons. A Review of Visual Tracking. Technical Report CSE-2008-07, York University, Canada, 2008.
    • (2008) A Review of Visual Tracking.
    • Cannons, K.1
  • 13
    • 70450191721 scopus 로고    scopus 로고
    • An open source tracking testbed and evaluation web site
    • R. Collins, X. Zhou, and S. K. Teh. An Open Source Tracking Testbed and Evaluation Web Site. In PETS, 2005.
    • (2005) PETS
    • Collins, R.1    Zhou, X.2    Teh, S.K.3
  • 14
    • 0042941939 scopus 로고    scopus 로고
    • Mean-shift blob tracking through scale space
    • R. T. Collins. Mean-shift Blob Tracking through Scale Space. In CVPR, 2003.
    • (2003) CVPR
    • Collins, R.T.1
  • 15
    • 27644528380 scopus 로고    scopus 로고
    • Online selection of discriminative tracking features
    • R. T. Collins, Y. Liu, and M. Leordeanu. Online Selection of Discriminative Tracking Features. PAMI, 27(10):1631-1643, 2005.
    • (2005) PAMI , vol.27 , Issue.10 , pp. 1631-1643
    • Collins, R.T.1    Liu, Y.2    Leordeanu, M.3
  • 16
    • 0038633569 scopus 로고    scopus 로고
    • Kernel-based object tracking
    • D. Comaniciu, V. Ramesh, and P. Meer. Kernel-Based Object Tracking. PAMI, 25(5):564-577, 2003.
    • (2003) PAMI , vol.25 , Issue.5 , pp. 564-577
    • Comaniciu, D.1    Ramesh, V.2    Meer, P.3
  • 17
    • 33645146449 scopus 로고    scopus 로고
    • Histograms of oriented gradients for human detection
    • N. Dalal and B. Triggs. Histograms of Oriented Gradients for Human Detection. In CVPR, 2005.
    • (2005) CVPR
    • Dalal, N.1    Triggs, B.2
  • 18
    • 80052910974 scopus 로고    scopus 로고
    • Context tracker: Exploring supporters and distracters in unconstrained environments
    • T. B. Dinh, N. Vo, and G. Medioni. Context Tracker: Exploring Supporters and Distracters in Unconstrained Environments. In CVPR, 2011.
    • (2011) CVPR
    • Dinh, T.B.1    Vo, N.2    Medioni, G.3
  • 19
    • 84862644870 scopus 로고    scopus 로고
    • Scribble tracker: A matting-based approach for robust tracking
    • J. Fan, X. Shen, and Y. Wu. Scribble Tracker: A Matting-based Approach for Robust Tracking. PAMI, 34(8):1633-1644, 2012.
    • (2012) PAMI , vol.34 , Issue.8 , pp. 1633-1644
    • Fan, J.1    Shen, X.2    Wu, Y.3
  • 20
    • 81355130516 scopus 로고    scopus 로고
    • Discriminative spatial attention for robust tracking
    • J. Fan, Y. Wu, and S. Dai. Discriminative Spatial Attention for Robust Tracking. In ECCV, 2010.
    • (2010) ECCV
    • Fan, J.1    Wu, Y.2    Dai, S.3
  • 21
    • 33845619309 scopus 로고    scopus 로고
    • The pets04 surveillance ground-truth data sets
    • R. B. Fisher. The PETS04 Surveillance Ground-Truth Data Sets. In PETS, 2004.
    • (2004) PETS
    • Fisher, R.B.1
  • 22
    • 84898020313 scopus 로고    scopus 로고
    • Real-time tracking via on-line boosting
    • H. Grabner, M. Grabner, and H. Bischof. Real-Time Tracking via On-line Boosting. In BMVC, 2006.
    • (2006) BMVC
    • Grabner, H.1    Grabner, M.2    Bischof, H.3
  • 23
    • 70350531007 scopus 로고    scopus 로고
    • Semi-supervised on-line boosting for robust tracking
    • H. Grabner, C. Leistner, and H. Bischof. Semi-supervised On-Line Boosting for Robust Tracking. In ECCV, 2008.
    • (2008) ECCV
    • Grabner, H.1    Leistner, C.2    Bischof, H.3
  • 24
    • 77956006668 scopus 로고    scopus 로고
    • Tracking the invisible: Learning where the object might be
    • H. Grabner, J. Matas, L. V. Gool, and P. Cattin. Tracking the Invisible: Learning Where the Object Might be. In CVPR, 2010.
    • (2010) CVPR
    • Grabner, H.1    Matas, J.2    Gool, L.V.3    Cattin, P.4
  • 25
    • 0032179948 scopus 로고    scopus 로고
    • Efficient region tracking with parametric models of geometry and illumination
    • G. D. Hager and P. N. Belhumeur. Efficient Region Tracking With Parametric Models of Geometry and Illumination. PAMI, 20(10):1025-1039, 1998.
    • (1998) PAMI , vol.20 , Issue.10 , pp. 1025-1039
    • Hager, G.D.1    Belhumeur, P.N.2
  • 26
    • 84856659290 scopus 로고    scopus 로고
    • Struck: Structured output tracking with kernels
    • S. Hare, A. Saffari, and P. H. S. Torr. Struck: Structured Output Tracking with Kernels. In ICCV, 2011.
    • (2011) ICCV
    • Hare, S.1    Saffari, A.2    Torr, P.H.S.3
  • 27
    • 84875994858 scopus 로고    scopus 로고
    • Exploiting the circulant structure of tracking-by-detection with kernels
    • J. F. Henriques, R. Caseiro, P. Martins, and J. Batista. Exploiting the Circulant Structure of Tracking-by-Detection with Kernels. In ECCV, 2012.
    • (2012) ECCV
    • Henriques, J.F.1    Caseiro, R.2    Martins, P.3    Batista, J.4
  • 28
    • 0032136153 scopus 로고    scopus 로고
    • CONdensation-conditional density propagation for visual tracking
    • M. Isard and A. Blake. CONDENSATION-Conditional Density Propagation for Visual Tracking. IJCV, 29(1):5-28, 1998.
    • (1998) IJCV , vol.29 , Issue.1 , pp. 5-28
    • Isard, M.1    Blake, A.2
  • 29
    • 0142134976 scopus 로고    scopus 로고
    • Robust online appearance models for visual tracking
    • A. D. Jepson, D. J. Fleet, and T. F. El-Maraghi. Robust Online Appearance Models for Visual Tracking. PAMI, 25(10):1296-1311, 2003.
    • (2003) PAMI , vol.25 , Issue.10 , pp. 1296-1311
    • Jepson, A.D.1    Fleet, D.J.2    El-Maraghi, T.F.3
  • 30
    • 84866725281 scopus 로고    scopus 로고
    • Visual tracking via adaptive structural local sparse appearance model
    • X. Jia, H. Lu, and M.-H. Yang. Visual Tracking via Adaptive Structural Local Sparse Appearance Model. In CVPR, 2012.
    • (2012) CVPR
    • Jia, X.1    Lu, H.2    Yang, M.-H.3
  • 31
    • 77956005443 scopus 로고    scopus 로고
    • P-N learning: Bootstrapping binary classifiers by structural constraints
    • Z. Kalal, J. Matas, and K. Mikolajczyk. P-N Learning: Bootstrapping Binary Classifiers by Structural Constraints. In CVPR, 2010.
    • (2010) CVPR
    • Kalal, Z.1    Matas, J.2    Mikolajczyk, K.3
  • 32
    • 70450172803 scopus 로고    scopus 로고
    • Tracking of a non-rigid object via patchbased dynamic appearance modeling and adaptive basin hopping monte carlo sampling
    • J. Kwon and K. M. Lee. Tracking of a Non-Rigid Object via Patchbased Dynamic Appearance Modeling and Adaptive Basin Hopping Monte Carlo Sampling. In CVPR, 2009.
    • (2009) CVPR
    • Kwon, J.1    Lee, K.M.2
  • 33
    • 77955995205 scopus 로고    scopus 로고
    • Visual tracking decomposition
    • J. Kwon and K. M. Lee. Visual Tracking Decomposition. In CVPR, 2010.
    • (2010) CVPR
    • Kwon, J.1    Lee, K.M.2
  • 34
    • 84863049929 scopus 로고    scopus 로고
    • Tracking by sampling trackers
    • J. Kwon and K. M. Lee. Tracking by Sampling Trackers. In ICCV, 2011.
    • (2011) ICCV
    • Kwon, J.1    Lee, K.M.2
  • 35
    • 84885606175 scopus 로고    scopus 로고
    • A survey of appearance models in visual object tracking
    • in press
    • X. Li, W. Hu, C. Shen, Z. Zhang, A. Dick, and A. Hengel. A Survey of Appearance Models in Visual Object Tracking. TIST, 2013, in press.
    • (2013) IntIST
    • Li, X.1    Hu, W.2    Shen, C.3    Zhang, Z.4    Dick, A.5    Hengel, A.6
  • 36
    • 80052879604 scopus 로고    scopus 로고
    • Robust tracking using local sparse appearance model and k-selection
    • B. Liu, J. Huang, L. Yang, and C. Kulikowsk. Robust Tracking using Local Sparse Appearance Model and K-Selection. In CVPR, 2011.
    • (2011) CVPR
    • Liu, B.1    Huang, J.2    Yang, L.3    Kulikowsk, C.4
  • 37
    • 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. In IJCAI, 1981.
    • (1981) IJCAI
    • Lucas, B.D.1    Kanade, T.2
  • 38
    • 3042525106 scopus 로고    scopus 로고
    • Learning to detect natural image boundaries using local brightness, color, and texture cues
    • D. R. Martin, C. C. Fowlkes, and J. Malik. Learning to Detect Natural Image Boundaries Using Local Brightness, Color, and Texture Cues. PAMI, 26(5):530-49, 2004.
    • (2004) PAMI , vol.26 , Issue.5 , pp. 530-549
    • Martin, D.R.1    Fowlkes, C.C.2    Malik, J.3
  • 39
    • 3042619859 scopus 로고    scopus 로고
    • The template update problem
    • I. Matthews, T. Ishikawa, and S. Baker. The Template Update Problem. PAMI, 26(6):810-815, 2004.
    • (2004) PAMI , vol.26 , Issue.6 , pp. 810-815
    • Matthews, I.1    Ishikawa, T.2    Baker, S.3
  • 40
    • 85097586621 scopus 로고    scopus 로고
    • Robust visual tracking using l1 minimization
    • X. Mei and H. Ling. Robust Visual Tracking using L1 Minimization. In ICCV, 2009.
    • (2009) ICCV
    • Mei, X.1    Ling, H.2
  • 41
    • 80052878612 scopus 로고    scopus 로고
    • Minimum error bounded efficient l1 tracker with occlusion detection
    • X. Mei, H. Ling, Y. Wu, E. Blasch, and L. Bai. Minimum Error Bounded Efficient L1 Tracker with Occlusion Detection. In CVPR, 2011.
    • (2011) CVPR
    • Mei, X.1    Ling, H.2    Wu, Y.3    Blasch, E.4    Bai, L.5
  • 42
    • 84877919236 scopus 로고    scopus 로고
    • Efficient minimum error bounded particle resampling l1 tracker with occlusion detection
    • in press
    • X. Mei, H. Ling, Y. Wu, E. Blasch, and L. Bai. Efficient Minimum Error Bounded Particle Resampling L1 Tracker with Occlusion Detection. TIP, 2013, in press.
    • (2013) IntIP
    • Mei, X.1    Ling, H.2    Wu, Y.3    Blasch, E.4    Bai, L.5
  • 45
    • 0034290919 scopus 로고    scopus 로고
    • The FERET evaluation methodology for face-recognition algorithms
    • P. Phillips, H. Moon, S. Rizvi, and P. Rauss. The FERET Evaluation Methodology for Face-Recognition Algorithms. PAMI, 22(10):1090-1104, 2000.
    • (2000) PAMI , vol.22 , Issue.10 , pp. 1090-1104
    • Phillips, P.1    Moon, H.2    Rizvi, S.3    Rauss, P.4
  • 46
    • 33845598510 scopus 로고    scopus 로고
    • Covariance tracking using model update based on lie algebra
    • F. Porikli, O. Tuzel, and P. Meer. Covariance Tracking using Model Update based on Lie Algebra. In CVPR, 2006.
    • (2006) CVPR
    • Porikli, F.1    Tuzel, O.2    Meer, P.3
  • 47
    • 39749173057 scopus 로고    scopus 로고
    • Incremental learning for robust visual tracking
    • D. Ross, J. Lim, R.-S. Lin, and M.-H. Yang. Incremental Learning for Robust Visual Tracking. IJCV, 77(1):125-141, 2008.
    • (2008) IJCV , vol.77 , Issue.1 , pp. 125-141
    • Ross, D.1    Lim, J.2    Lin, R.-S.3    Yang, M.-H.4
  • 50
    • 77953201128 scopus 로고    scopus 로고
    • Beyond semi-supervised tracking: Tracking should be as simple as detection, but not simpler than recognition
    • S. Stalder, H. Grabner, and L. van Gool. Beyond Semi-Supervised Tracking: Tracking Should Be as Simple as Detection, but not Simpler than Recognition. In ICCV Workshop, 2009.
    • (2009) ICCV Workshop
    • Stalder, S.1    Grabner, H.2    Van Gool, L.3
  • 51
    • 70450186988 scopus 로고    scopus 로고
    • Learning to track with multiple observers
    • B. Stenger, T. Woodley, and R. Cipolla. Learning to Track with Multiple Observers. In CVPR, 2009.
    • (2009) CVPR
    • Stenger, B.1    Woodley, T.2    Cipolla, R.3
  • 52
    • 50649099635 scopus 로고    scopus 로고
    • Co-tracking using semi-supervised support vector machines
    • F. Tang, S. Brennan, Q. Zhao, and H. Tao. Co-Tracking Using Semi-Supervised Support Vector Machines. In CVPR, 2007.
    • (2007) CVPR
    • Tang, F.1    Brennan, S.2    Zhao, Q.3    Tao, H.4
  • 53
    • 33748781681 scopus 로고    scopus 로고
    • Region covariance: A fast descriptor for detection and classification
    • O. Tuzel, F. Porikli, and P. Meer. Region Covariance: A Fast Descriptor for Detection and Classification. In ECCV, 2006.
    • (2006) ECCV
    • Tuzel, O.1    Porikli, F.2    Meer, P.3
  • 54
    • 2142812371 scopus 로고    scopus 로고
    • Robust real-time face detection
    • P. Viola and M. J. Jones. Robust Real-Time Face Detection. IJCV, 57(2):137-154, 2004.
    • (2004) IJCV , vol.57 , Issue.2 , pp. 137-154
    • Viola, P.1    Jones, M.J.2
  • 55
    • 84871648489 scopus 로고    scopus 로고
    • Online object tracking with sparse prototypes
    • D. Wang, H. Lu, and M.-H. Yang. Online Object Tracking with Sparse Prototypes. TIP, 22(1):314-325, 2013.
    • (2013) IntIP , vol.22 , Issue.1 , pp. 314-325
    • Wang, D.1    Lu, H.2    Yang, M.-H.3
  • 56
    • 84860208938 scopus 로고    scopus 로고
    • Real-time probabilistic covariance tracking with efficient model update
    • Y. Wu, J. Cheng, J. Wang, H. Lu, J. Wang, H. Ling, E. Blasch, and L. Bai. Real-time Probabilistic Covariance Tracking with Efficient Model Update. TIP, 21(5):2824-2837, 2012.
    • (2012) IntIP , vol.21 , Issue.5 , pp. 2824-2837
    • Wu, Y.1    Cheng, J.2    Wang, J.3    Lu, H.4    Wang, J.5    Ling, H.6    Blasch, E.7    Bai, L.8
  • 57
    • 84863046002 scopus 로고    scopus 로고
    • Blurred target tracking by blur-driven tracker
    • Y. Wu, H. Ling, J. Yu, F. Li, X. Mei, and E. Cheng. Blurred Target Tracking by Blur-driven Tracker. In ICCV, 2011.
    • (2011) ICCV
    • Wu, Y.1    Ling, H.2    Yu, J.3    Li, F.4    Mei, X.5    Cheng, E.6
  • 58
    • 84866646401 scopus 로고    scopus 로고
    • Online robust image alignment via iterative convex optimization
    • Y. Wu, B. Shen, and H. Ling. Online Robust Image Alignment via Iterative Convex Optimization. In CVPR, 2012.
    • (2012) CVPR
    • Wu, Y.1    Shen, B.2    Ling, H.3
  • 59
    • 67349130133 scopus 로고    scopus 로고
    • Context-aware visual tracking
    • M. Yang, Y. Wu, and G. Hua. Context-Aware Visual Tracking. PAMI, 31(7):1195-1209, 2008.
    • (2008) PAMI , vol.31 , Issue.7 , pp. 1195-1209
    • Yang, M.1    Wu, Y.2    Hua, G.3
  • 61
    • 84890887869 scopus 로고    scopus 로고
    • Visual tracking via adaptive tracker selection with ultiple features
    • 2012
    • J. H. Yoon, D. Y. Kim, and K.-J. Yoon. Visual Tracking via Adaptive Tracker Selection with ultiple Features. In ECCV, 2012.
    • ECCV
    • Yoon, J.H.1    Kim, D.Y.2    Yoon, K.-J.3
  • 62
    • 50249113689 scopus 로고    scopus 로고
    • Tracking in low frame rate video: A cascade particle filter with discriminative observers of different life spans
    • L. Yuan, A. Haizhou, T. Yamashita, L. Shihong, and M. Kawade. Tracking in Low Frame Rate Video: A Cascade Particle Filter with Discriminative Observers of Different Life Spans. PAMI, 30(10):1728-1740, 2008.
    • (2008) PAMI , vol.30 , Issue.10 , pp. 1728-1740
    • Yuan, L.1    Haizhou, A.2    Yamashita, T.3    Shihong, L.4    Kawade, M.5
  • 63
    • 84875267892 scopus 로고    scopus 로고
    • Real-time compressive tracking
    • K. Zhang, L. Zhang, and M.-H. Yang. Real-time Compressive Tracking. In ECCV, 2012.
    • (2012) ECCV
    • Zhang, K.1    Zhang, L.2    Yang, M.-H.3
  • 64
    • 84866678444 scopus 로고    scopus 로고
    • Robust visual tracking via multi-task sparse learning
    • T. Zhang, B. Ghanem, S. Liu, and N. Ahuja. Robust Visual Tracking via Multi-task Sparse Learning. In CVPR, 2012.
    • (2012) CVPR
    • Zhang, T.1    Ghanem, B.2    Liu, S.3    Ahuja, N.4
  • 65
    • 84866648566 scopus 로고    scopus 로고
    • Robust object tracking via sparsity-based collaborative model
    • W. Zhong, H. Lu, and M.-H. Yang. Robust Object Tracking via Sparsity-based Collaborative Model. In CVPR, 2012.
    • (2012) CVPR
    • Zhong, W.1    Lu, H.2    Yang, M.-H.3


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