16.6.2.6 Mean-Shift Tracking Techniques

Comaniciu, D.[Dorin], Ramesh, V.[Visvanathan], Meer, P.[Peter],
Kernel-based object tracking,
PAMI(25), No. 5, May 2003, pp. 564-577.
IEEE Abstract. 0304
BibRef
Earlier:
Real-Time Tracking of Non-Rigid Objects using Mean Shift,
CVPR00(II: 142-149).
IEEE DOI Link 0005
Award, Longuet-Higgins. BibRef
And: A1, A2 only: US_Patent6,590,999, July 8, 2003.
WWW Version. Award, CVPR. Feature histogram based representation. BibRef

Comaniciu, D.,
Bayesian Kernel Tracking,
DAGM02(438 ff.).
HTML Version. 0303
BibRef

Comaniciu, D.[Dorin], Ramesh, V.[Visvanathan],
Mean Shift and Optimal Prediction for Efficient Object Tracking,
ICIP00(Vol III: 70-73).
IEEE Abstract. 0008
BibRef

Zhou, X.S., Comaniciu, D., Xie, B., Cruceanu, R., Gupta, A.,
A unified framework for uncertainty propagation in automatic shape tracking,
CVPR04(I: 872-879).
IEEE Abstract. 0408
BibRef

Liu, B.Y.[Bai-Yang], Huang, J.Z.[Jun-Zhou], Yang, L.[Lin], Kulikowsk, C.[Casimir],
Robust tracking using local sparse appearance model and K-selection,
CVPR11(1313-1320).
IEEE DOI Link 1106
BibRef

Liu, B.Y.[Bai-Yang], Yang, L.[Lin], Huang, J.Z.[Jun-Zhou], Meer, P.[Peter], Gong, L.G.[Lei-Guang], Kulikowski, C.[Casimir],
Robust and Fast Collaborative Tracking with Two Stage Sparse Optimization,
ECCV10(IV: 624-637).
Springer DOI Link 1009
BibRef

Han, B.H.[Bo-Hyung], Comaniciu, D.[Dorin], Zhu, Y.[Ying], Davis, L.S.[Larry S.],
Sequential Kernel Density Approximation and Its Application to Real-Time Visual Tracking,
PAMI(30), No. 7, July 2008, pp. 1186-1197.
IEEE DOI Link 0806
BibRef
Earlier: A1, A2, A3, A4:
Incremental density approximation and kernel-based Bayesian filtering for object tracking,
CVPR04(I: 638-644).
IEEE Abstract. 0408
Kernel density approximation technique based on the mean-shift mode finding algorithm BibRef

Han, B.H.[Bo-Hyung], Zhu, Y.[Ying], Comaniciu, D.[Dorin], Davis, L.S.[Larry S.],
Visual Tracking by Continuous Density Propagation in Sequential Bayesian Filtering Framework,
PAMI(31), No. 5, May 2009, pp. 919-930.
IEEE DOI Link 0903
BibRef
Earlier:
Kernel-Based Bayesian Filtering for Object Tracking,
CVPR05(I: 227-234).
IEEE DOI Link 0507
Particle filtering in tracking. BibRef

Han, B.H.[Bo-Hyung], Davis, L.S.[Larry S.],
Probabilistic fusion-based parameter estimation for visual tracking,
CVIU(113), No. 4, April 2009, pp. 435-445.
Elsevier DOI Link
WWW Version. 0903
BibRef
Earlier:
On-Line Density-Based Appearance Modeling for Object Tracking,
ICCV05(II: 1492-1499).
IEEE DOI Link 0510
BibRef
And:
Robust Observations for Object Tracking,
ICIP05(II: 442-445).
IEEE DOI Link 0512
BibRef
Earlier:
Object tracking by adaptive feature extraction,
ICIP04(III: 1501-1504).
IEEE DOI Link 0505
Visual tracking; Density-based fusion; Mean-shift; Component-based tracking BibRef

Han, B.H.[Bo-Hyung], Joo, S.W.[Seong-Wook], Davis, L.S.[Larry S.],
Multi-Camera Tracking with Adaptive Resource Allocation,
IJCV(91), No. 1, January 2011, pp. 45-58.
WWW Version. 1101
BibRef
Earlier:
Probabilistic Fusion Tracking Using Mixture Kernel-Based Bayesian Filtering,
ICCV07(1-8).
IEEE DOI Link 0710
BibRef

Yang, C.J.[Chang-Jiang], Duraiswami, R.[Ramani], Davis, L.S.[Larry S.],
Fast Multiple Object Tracking via a Hierarchical Particle Filter,
ICCV05(I: 212-219).
IEEE DOI Link 0510
Color and edge orientation. Coarse-to-fine matching. BibRef

Yang, C.J.[Chang-Jiang], Duraiswami, R.[Ramani], Davis, L.S.[Larry S.],
Efficient Mean-Shift Tracking via a New Similarity Measure,
CVPR05(I: 176-183).
IEEE DOI Link 0507
Alternate similarity measure for tracking. BibRef

Li, P.,
An Adaptive Binning Color Model for Mean Shift Tracking,
CirSysVideo(18), No. 9, September 2008, pp. 1293-1299.
IEEE DOI Link 0810
BibRef

Jeyakar, J.[Jaideep], Babu, R.V.[R. Venkatesh], Ramakrishnan, K.R.,
Robust object tracking with background-weighted local kernels,
CVIU(112), No. 3, December 2008, pp. 296-309.
WWW Version. 0711
BibRef
Earlier:
Robust Object Tracking using Local Kernels and Background Information,
ICIP07(V: 49-52).
IEEE DOI Link 0709
Mean shift; Object tracking; Kernel tracking BibRef

Hu, J.S.[Jwu-Sheng], Juan, C.W.[Chung-Wei], Wang, J.J.[Jyun-Ji],
A spatial-color mean-shift object tracking algorithm with scale and orientation estimation,
PRL(29), No. 16, 1 December 2008, pp. 2165-2173.
WWW Version. 0811
Mean-shift; Object tracking; Principle component analysis; Object deformation BibRef

Park, M.W.[Min-Woo], Brocklehurst, K.[Kyle], Collins, R.T.[Robert T.], Liu, Y.X.[Yan-Xi],
Deformed Lattice Detection in Real-World Images Using Mean-Shift Belief Propagation,
PAMI(31), No. 10, October 2009, pp. 1804-1816.
IEEE DOI Link 0909
BibRef
Earlier: A1, A3, A4, Only:
Deformed Lattice Discovery Via Efficient Mean-Shift Belief Propagation,
ECCV08(II: 474-485).
Springer DOI Link 0810
BibRef
Earlier: A1, A4, A3, Only:
Efficient mean shift belief propagation for vision tracking,
CVPR08(1-8).
IEEE DOI Link 0806
BibRef

Park, M.W.[Min-Woo], Kashyap, S.[Somesh], Collins, R.T.[Robert T.], Liu, Y.X.[Yan-Xi],
Data driven mean-shift belief propagation for non-gaussian MRFs,
CVPR10(3547-3554).
IEEE DOI Link 1006
BibRef

Collins, R.T.,
Mean-shift blob tracking through scale space,
CVPR03(II: 234-240).
IEEE Abstract. 0307
BibRef

Zhao, Q.[Qi], Tao, H.[Hai],
A motion observable representation using color correlogram and its applications to tracking,
CVIU(113), No. 2, February 2009, pp. 273-290.
Elsevier DOI Link
WWW Version. 0901
Simplified color correlogram (SCC); Kernel based tracking; Optimal feature selection BibRef

Tang, F.[Feng], Harville, M.[Michael], Tao, H.[Hai], Robinson, I.N.[Ian N.],
Fusion of local appearance with stereo depth for object tracking,
S3D08(1-8).
IEEE DOI Link 0806
BibRef

Zhao, Q.[Qi], Yang, Z.[Zhi], Tao, H.[Hai], Liu, W.T.[Wen-Tai],
Evolving Mean Shift with Adaptive Bandwidth: A Fast and Noise Robust Approach,
ACCV09(I: 258-268).
Springer DOI Link 0909
BibRef

Tang, F.[Feng], Brennan, S.[Shane], Zhao, Q.[Qi], Tao, H.[Hai],
Co-Tracking Using Semi-Supervised Support Vector Machines,
ICCV07(1-8).
IEEE DOI Link 0710
BibRef

Zhao, Q.[Qi], Brennan, S.[Shane], Tao, H.[Hai],
Differential EMD Tracking,
ICCV07(1-8).
IEEE DOI Link 0710
BibRef

Zhou, H.Y.[Hui-Yu], Yuan, Y.[Yuan], Shi, C.M.[Chun-Mei],
Object tracking using SIFT features and mean shift,
CVIU(113), No. 3, March 2009, pp. 345-352.
Elsevier DOI Link
WWW Version. 0902
Award, CVIU, Most Cited. (2009-2011) Object tracking; Color histogram; Mean shift; SIFT features; Expectation-maximization BibRef

Zhou, H.Y.[Hui-Yu], Tao, D.C.[Da-Cheng], Yuan, Y.[Yuan], Li, X.L.[Xue-Long],
Object trajectory clustering via tensor analysis,
ICIP09(1945-1948).
IEEE DOI Link 0911
BibRef

Liu, H.[Hong], Yu, Z.[Ze], Zha, H.B.[Hong-Bin], Zou, Y.X.[Yue-Xian], Zhang, L.[Lin],
Robust human tracking based on multi-cue integration and mean-shift,
PRL(30), No. 9, 1 July 2009, pp. 827-837.
Elsevier DOI Link
WWW Version. 0905
Mean-Shift; Multi-cue tracking; Adaptive integration BibRef

Liu, H.[Hong], Zhang, L.[Lin], Yu, Z.[Ze], Zha, H.B.[Hong-Bin], Shi, Y.[Ying],
Collaborative Mean Shift Tracking Based on Multi-Cue Integration and Auxiliary Objects,
ICIP07(III: 217-220).
IEEE DOI Link 0709
BibRef

Maggio, E.[Emilio], Cavallaro, A.[Andrea],
Accurate appearance-based Bayesian tracking for maneuvering targets,
CVIU(113), No. 4, April 2009, pp. 544-555.
Elsevier DOI Link
WWW Version. 0903
Object representation; Color histogram; Tracking; Mean Shift; Particle Filter BibRef

Maggio, E.[Emilio], Cavallaro, A.[Andrea],
Learning Scene Context for Multiple Object Tracking,
IP(18), No. 8, August 2009, pp. 1873-1884.
IEEE DOI Link 0907
BibRef

Wang, J.Q.[Jun-Qiu], Yagi, Y.S.[Yasu-Shi],
Integrating Color and Shape-Texture Features for Adaptive Real-Time Object Tracking,
IP(17), No. 2, February 2008, pp. 235-240.
IEEE DOI Link 0801
BibRef

Wang, J.Q.[Jun-Qiu], Yagi, Y.S.[Yasu-Shi],
Switching local and covariance matching for efficient object tracking,
ICPR08(1-4).
IEEE DOI Link 0812
BibRef
And:
Patch-based adaptive tracking using spatial and appearance information,
ICIP08(1564-1567).
IEEE DOI Link 0810
BibRef
Earlier:
Discriminative Mean Shift Tracking with Auxiliary Particles,
ACCV07(I: 576-585).
Springer DOI Link 0711
BibRef

Li, S.X.[Shu-Xiao], Chang, H.X.[Hong-Xing], Zhu, C.F.[Cheng-Fei],
Adaptive pyramid mean shift for global real-time visual tracking,
IVC(28), No. 3, March 2010, pp. 424-437.
Elsevier DOI Link
WWW Version. 1001
Global visual tracking; Fast mean shift; Adaptive level; Kernel-based tracking; Tracking and pointing subsystem BibRef

Khan, Z.H.[Zulfiqar Hasan], Gu, I.Y.H.[Irene Yu-Hua], Backhouse, A.G.[Andrew G.],
Robust Visual Object Tracking Using Multi-Mode Anisotropic Mean Shift and Particle Filters,
CirSysVideo(21), No. 1, January 2011, pp. 74-87.
IEEE DOI Link 1103
BibRef
Earlier:
Joint particle filters and multi-mode anisotropic mean shift for robust tracking of video objects with partitioned areas,
ICIP09(4077-4080).
IEEE DOI Link 0911
BibRef

Khan, Z.H.[Zulfiqar Hasan], Gu, I.Y.H.[Irene Yu-Hua],
Tracking visual and infrared objects using joint Riemannian manifold appearance and affine shape modeling,
VS11(1847-1854).
IEEE DOI Link 1201
BibRef
And:
Bayesian online learning on Riemannian manifolds using a dual model with applications to video object tracking,
ITCVPR11(1402-1409).
IEEE DOI Link 1201
BibRef
And:
Visual tracking and dynamic learning on the Grassmann manifold with inference from a Bayesian framework and state space models,
ICIP11(1433-1436).
IEEE DOI Link 1201
BibRef

Yilmaz, A.[Alper],
Kernel-based object tracking using asymmetric kernels with adaptive scale and orientation selection,
MVA(22), No. 2, March 2011, pp. 255-268.
WWW Version. 1103
BibRef
Earlier:
Object Tracking by Asymmetric Kernel Mean Shift with Automatic Scale and Orientation Selection,
CVPR07(1-6).
IEEE DOI Link 0706
BibRef

Beyan, C., Temizel, A.,
Adaptive mean-shift for automated multi object tracking,
IET-CV(6), No. 1, 2012, pp. 1-12.
WWW Version. 1201
BibRef

Ning, J., Zhang, L., Zhang, D., Wu, C.,
Scale and orientation adaptive mean shift tracking,
IET-CV(6), No. 1, 2012, pp. 52-61.
WWW Version. 1201
BibRef

Ning, J., Zhang, L., Zhang, D., Wu, C.,
Robust mean-shift tracking with corrected background-weighted histogram,
IET-CV(6), No. 1, 2012, pp. 62-69.
WWW Version. 1201
BibRef

Prisacariu, V.A.[Victor Adrian], Reid, I.D.[Ian D.],
PWP3D: Real-Time Segmentation and Tracking of 3D Objects,
IJCV(98), No. 3, July 2012, pp. 335-354.
WWW Version. 1202
BibRef
Earlier: BMVC09(xx-yy).
PDF Version.
WWW Version. 0909
BibRef
And:
Shared shape spaces,
ICCV11(2587-2594).
IEEE DOI Link 1201
BibRef
And:
Nonlinear shape manifolds as shape priors in level set segmentation and tracking,
CVPR11(2185-2192).
IEEE DOI Link 1106
BibRef

Ren, Y.[Yuheng], Prisacariu, V.A.[Victor Adrian], Reid, I.D.[Ian D.],
Regressing Local to Global Shape Properties for Online Segmentation and Tracking,
BMVC11(xx-yy).
HTML Version. 1110
BibRef

Reid, I.D.[Ian D.], Zhao, C.[Chuan],
Mean-shift Visual Tracking with NP-Windows Density Estimates,
BMVC10(xx-yy).
HTML Version. 1009
BibRef

Zhao, C.[Chuan], Knight, A.[Andrew], Reid, I.D.[Ian D.],
Target tracking using mean-shift and affine structure,
ICPR08(1-5).
IEEE DOI Link 0812
BibRef

Wang, L.F.[Ling-Feng], Pan, C.H.[Chun-Hong], Xiang, S.M.[Shi-Ming],
MEAN-shift tracking algorithm with weight fusion strategy,
ICIP11(473-476).
IEEE DOI Link 1201
BibRef

Wang, L.F.[Ling-Feng], Wu, H.Y.[Huai-Yu], Pan, C.H.[Chun-Hong],
Mean-Shift Object Tracking with a Novel Back-Projection Calculation Method,
ACCV09(I: 83-92).
Springer DOI Link 0909
BibRef

di Caterina, G.[Gaetano], Soraghan, J.J.[John J.],
An improved Mean Shift tracker with fast failure recovery strategy after complete occlusion,
AVSBS11(130-135).
IEEE DOI Link 1111
BibRef

Shen, L.R.[Lu-Rong], Huang, X.S.[Xin-Sheng], Xu, W.Y.[Wan-Ying], Zheng, Y.B.[Yong-Bin],
Robust Visual Tracking by Integrating Lucas-Kanade into Mean-Shift,
ICIG11(660-666).
IEEE DOI Link 1109
BibRef

Šurkala, M.[Milan], Mozdren, K.[Karel], Fusek, R.[Radovan], Sojka, E.[Eduard],
Hierarchical Blurring Mean-Shift,
ACIVS11(228-238).
Springer DOI Link 1108
BibRef

Bai, K.[Kejia],
Particle filter tracking with Mean Shift and joint probability data association,
IASP10(607-612).
IEEE DOI Link 1004
BibRef

Sojka, E.[Eduard], Gaura, J.[Jan], Fabián, T.[Tomáš], Krumnikl, M.[Michal],
Fast Mean Shift Algorithm Based on Discretisation and Interpolation,
ACIVS10(I: 402-413).
Springer DOI Link 1012
BibRef

Sojka, E.[Eduard], Gaura, J.[Jan], Šrubar, Š.[Štepán], Fabián, T.[Tomáš], Krumnikl, M.[Michal],
Blurring Mean-Shift with a Restricted Data-Set Modification for Applications in Image Processing,
ISVC10(III: 310-319).
Springer DOI Link 1011
BibRef

Gouiffes, M.[Michele], Laguzet, F.[Florence], Lacassagne, L.[Lionel],
Projection-histograms for mean-shift tracking,
ICIP10(4617-4620).
IEEE DOI Link 1009
BibRef

Khan, I.R.[Ishtiaq Rasool], Farbiz, F.[Farzam],
A back projection scheme for accurate mean shift based tracking,
ICIP10(33-36).
IEEE DOI Link 1009
BibRef

Gouiffes, M.[Michele], Laguzet, F.[Florence], Lacassagne, L.[Lionel],
Color Connectedness Degree for Mean-Shift Tracking,
ICPR10(4561-4564).
IEEE DOI Link 1008
BibRef

Yoon, J.W.[Ji Won], Wilson, S.P.[Simon P.],
Improved Mean Shift Algorithm with Heterogeneous Node Weights,
ICPR10(4222-4225).
IEEE DOI Link 1008
BibRef

Haner, S.[Sebastian], Gu, I.Y.H.[Irene Yu-Hua],
Combining Foreground / Background Feature Points and Anisotropic Mean Shift For Enhanced Visual Object Tracking,
ICPR10(3488-3491).
IEEE DOI Link 1008
BibRef

Zhuang, D.Y.[Da-Yuan], Ma, X.H.[Xiao-Hu], Xu, Y.L.[Yun-Long],
Real-time tracking algorithm based on improved Mean Shift and Kalman filter,
IASP10(100-103).
IEEE DOI Link 1004
BibRef

Aslam, S.[Salman], Bobick, A.[Aaron], Barnes, C.[Christopher], Sezer, O.[Osman],
Better computer vision under video compression, an example using mean shift tracking,
ICIP09(3629-3632).
IEEE DOI Link 0911
BibRef

Zhou, B.[Bin], Wang, J.Z.[Jun-Zheng], Shen, W.[Wei],
Object tracking based on multi-bandwidth mean shift with convergence acceleration,
IASP10(613-619).
IEEE DOI Link 1004
BibRef

Zhou, B.[Bin], Wang, J.Z.[Jun-Zheng], Li, J.[Jing], Shen, W.[Wei],
Object Tracking with Mean Shift and Model Prediction,
CISP09(1-5).
IEEE DOI Link 0910
BibRef

Li, B.[Bo], Zeng, Z.Y.[Zhi-Yuan], Wu, Z.R.[Zhong-Ru],
Multi-Object Tracking Based on Improved Mean-Shift Algorithm,
CISP09(1-5).
IEEE DOI Link 0910
BibRef

Lou, Z.Y.[Zhong-Yu], Jiang, G.[Guang], Wu, C.K.[Cheng-Ke],
Mean-Shift Tracking of Variable Kernel Based on Projective Geometry,
CISP09(1-4).
IEEE DOI Link 0910
BibRef

Tung, F.[Frederick], Zelek, J.S.[John S.], Clausi, D.A.[David A.],
Efficient Target Recovery Using STAGE for Mean-shift Tracking,
CRV09(16-22).
IEEE DOI Link 0905
BibRef

Li, P.H.[Pei-Hua], Sun, Q.[Qi],
Tensor-based covariance matrices for object tracking,
VS11(1681-1688).
IEEE DOI Link 1201
BibRef

Li, P.H.[Pei-Hua], Xiao, L.J.[Li-Juan],
Mean Shift Parallel Tracking on GPU,
IbPRIA09(120-127).
Springer DOI Link 0906
BibRef
Earlier: A2, A1:
Improvement on Mean Shift based tracking using second-order information,
ICPR08(1-4).
IEEE DOI Link 0812
BibRef

Yi, K.M.[Kwang Moo], Kim, S.W.[Soo Wan], Choi, J.Y.[Jin Young],
Orientation and Scale Invariant Kernel-Based Object Tracking with Probabilistic Emphasizing,
ACCV09(II: 130-139).
Springer DOI Link 0909
BibRef

Yi, K.M.[Kwang Moo], Ahn, H.S.[Ho Seok], Choi, J.Y.[Jin Young],
Orientation and scale invariant mean shift using object mask-based kernel,
ICPR08(1-4).
IEEE DOI Link 0812
BibRef

Li, Z.D.[Zhi-Dong], Chen, J.[Jing], Schraudolph, N.N.[Nicol N.],
An improved mean-shift tracker with kernel prediction and scale optimisation targeting for low-frame-rate video tracking,
ICPR08(1-4).
IEEE DOI Link 0812
BibRef

Shi, Y.[Ying], Liu, H.[Hong], Liu, Y.[Yi], Zha, H.B.[Hong-Bin],
Adaptive feature-spatial representation for Mean-shift tracker,
ICIP08(2012-2015).
IEEE DOI Link 0810
BibRef

Li, G.R.[Guo-Rong], Liang, D.W.[Da-Wei], Huang, Q.M.[Qing-Ming], Jiang, S.Q.A.[Shu-Qi-Ang], Gao, W.[Wen],
Object tracking using incremental 2D-LDA learning and Bayes inference,
ICIP08(1568-1571).
IEEE DOI Link 0810
BibRef

Liang, D.W.[Da-Wei], Huang, Q.M.[Qing-Ming], Jiang, S.Q.A.[Shu-Qi-Ang], Yao, H.X.[Hong-Xun], Gao, W.[Wen],
Mean-Shift Blob Tracking with Adaptive Feature Selection and Scale Adaptation,
ICIP07(III: 369-372).
IEEE DOI Link 0709
BibRef

Caulfield, D.[Darren], Dawson-Howe, K.M.[Kenneth M.],
Evaluation of Multi-part Models for Mean-Shift Tracking,
IMVIP08(77-82).
IEEE DOI Link 0809
BibRef

Pridmore, T.P., Naeem, A., Mills, S.,
Managing Particle Spread via Hybrid Particle Filter/Kernel Mean Shift Tracking,
BMVC07(xx-yy).
PDF Version. 0709
BibRef

Draréni, J.[Jamil], Roy, S.[Sébastien],
A Simple Oriented Mean-Shift Algorithm for Tracking,
ICIAR07(558-568).
Springer DOI Link 0708
BibRef

Leung, A.P., Gong, S.,
Mean-Shift Tracking with Random Sampling,
BMVC06(II:729).
PDF Version. 0609
BibRef

Deguchi, K., Kawanaka, O., Okatani, T.,
Object tracking by the mean-shift of regional color distribution combined with the particle-filter algorithm,
ICPR04(III: 506-509).
IEEE DOI Link 0409
BibRef

Abrantes, A.J., Marques, J.S.,
The mean shift algorithm and the unified framework,
ICPR04(I: 244-247).
IEEE DOI Link 0409
BibRef

Abrantes, A.J.[Arnaldo J.], Marques, J.S.[Jorge S.],
Shape Tracking Using Centroid-Based Methods,
EMMCVPR01(576-591).
Springer DOI Link 0205
BibRef

Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Target Tracking, Active, Camera Following, Real Time Issues, Hardware .