16.7.4.4.7 Tracking People with 3D Models, Articulation Models

Chapter Contents (Back)
Motion, Human. Tracking. Depth.

O'Rourke, J., and Badler, N.I.,
Model-Based Image Analysis of Human Motion Using Constraint Propagation,
PAMI(2), No. 6, November 1980, pp. 522-536. Model Based. Model based on spheres. BibRef 8011

O'Rourke, J.,
Image Analysis of Human Motion,
Ph.D.Computer Science, May 1980, BibRef 8005 UPenn BibRef

Badler, N.I., O'Rourke, J., Platt, S., Morris, M.A.,
Human Movement Understanding: A Variety of Perspectives,
AAAI-80(53-55). BibRef 8000

Guo, Y., Xu, G., Tsuji, S.,
Tracking Human Body Motion Based on a Stick Figure Model,
JVCIR(5), 1994, pp. 1-9. BibRef 9400
Earlier:
Understanding Human Motion Patterns,
ICPR94(B:325-329).
IEEE DOI BibRef

Gavrila, D.M.[Dariu M.], Davis, L.S.,
Towards 3-D Model-Based Tracking of Humans in Action,
AIU96(264-279). BibRef 9600
Earlier:
Tracking Humans in Action: A 3D Model-Based Approach,
ARPA96(737-746).
PS File. BibRef
And:
3D Model-Based Tracking of Humans in Action: A Multi-View Approach,
CVPR96(73-80).
IEEE DOI
PDF File. BibRef
And: UMDTR3555, 1995.
WWW Link. BibRef

Gavrila, D.M.[Dariu M.],
Vision-based 3-D Tracking of Humans in Action,
Ph.D.Thesis, Department of Computer Science, University of Maryland, College Park, 1996.
PDF File. BibRef 9603

Gavrila, D.M.[Dariu M.], Davis, L.S.,
3-D Model-Based Tracking of Human Upper Body Movement: A Multi-View Approach,
SCV95(253-258).
IEEE DOI University of Maryland. BibRef 9500

Wren, C.R.[Christopher R.], Pentland, A.P.[Alex P.],
Dynaman: Recursive Modeling of Human Motion,
Vismod--451, November 1997.
HTML Version. BibRef 9711

Wren, C.R.[Christopher R.], Azarbayejani, A.[Ali], Darrell, T.J.[Trevor J.], Pentland, A.P.[Alex P.],
Pfinder: Real-Time Tracking of the Human Body,
PAMI(19), No. 7, July 1997, pp. 780-785.
IEEE DOI 9708
BibRef
Earlier: AFGR96(51-56).
IEEE DOI 9610
BibRef
And: Vismod--353, 1995.
HTML Version. And
PS File. Track blobs for head and hands (statistical technique using color). BibRef

Pentland, A.P.[Alex P.], Azarbayejani, A.[Ali], Oliver, N.M.[Nuria M.], Brand, M.[Matthew],
Real-Time 3-D Tracking and Classification of Human Behavior,
DARPA97(193-200). BibRef 9700

Wren, C.R.[Christopher R.], Clarkson, B.P.[Brian P.], Pentland, A.P.[Alex P.],
Understanding Purposeful Human Motion,
AFGR00(378-383).
IEEE DOI 0003
BibRef
And: Vismod--485, March 1999.
PS File. BibRef
Earlier: A1, A3 only: MPeople99(xx-yy). BibRef

Wren, C.R.[Christopher R.],
Understanding Expressive Action,
Vismod--527, March 2000. BibRef 0003 Ph.D.Thesis, MIT, March 2000.
PDF File. BibRef

Wren, C.R., Pentland, A.P.,
Dynamic Models of Human Motion,
AFGR98(22-27).
IEEE DOI BibRef 9800
And: Vismod--415, 1997.
HTML Version. BibRef

Bremond, F.[Francois], and Thonnat, M.[Monique],
Tracking Multiple Nonrigid Objects In Video Sequences,
CirSysVideo(8), No. 5, September 1998, pp. 585-591.
IEEE Top Reference. 9810
BibRef
Earlier:
Tracking Multiple Non-Rigid Objects in a Cluttered Scene,
SCIA97(xx-yy)
HTML Version. 9705
BibRef
And:
Object Tracking and Scenario Recognition for Video-Surveillance,
IJCAI97(XX-YY). BibRef

Avanzi, A.[Alberto], Brémond, F.[François], Thonnat, M.[Monique],
Tracking Multiple Individuals for Video Communication,
ICIP01(II: 379-382).
IEEE DOI 0108
BibRef

Ricquebourg, Y.[Yann], Bouthemy, P.[Patrick],
Real-Time Tracking of Moving Persons by Exploring Spatio-Temporal Image Slices,
PAMI(22), No. 8, August 2000, pp. 797-808.
IEEE DOI 0010
BibRef
Earlier:
Tracking of Articulated Structures Exploiting Spatio-Temporal Image Slices,
ICIP97(III: 480-483).
IEEE DOI BibRef
Earlier:
A statistical regularization framework for estimating normal displacements along contours with subpixel accuracy,
CAIP95(73-81).
Springer DOI 9509
BibRef
And:
Subpixel estimation of normal displacements along contours using MRF-models,
ICIP95(II: 288-291).
IEEE DOI 9510
BibRef

Polat, E.[Ediz], Yeasin, M.[Mohammed], Sharma, R.[Rajeev],
A 2D/3D model-based object tracking framework,
PR(36), No. 9, September 2003, pp. 2127-2141.
Elsevier DOI 0307
BibRef
Earlier:
Multiple complex object tracking using a combined technique,
ICPR02(II: 717-720).
IEEE DOI 0211
BibRef

Polat, E.[Ediz], Yeasin, M.[Mohammed], Sharma, R.[Rajeev],
Robust tracking of human body parts for collaborative human computer interaction,
CVIU(89), No. 1, January 2003, pp. 44-69.
Elsevier DOI 0301
BibRef
Earlier:
Detecting and Tracking Body Parts of Multiple People,
ICIP01(I: 405-408).
IEEE DOI 0108
BibRef

Zhao, T.[Tao], Nevatia, R.,
Tracking Multiple Humans in Complex Situations,
PAMI(26), No. 9, September 2004, pp. 1208-1221.
IEEE Abstract. 0409
BibRef
Earlier:
Tracking multiple humans in crowded environment,
CVPR04(II: 406-413).
IEEE DOI 0408
BibRef
Earlier:
Bayesian human segmentation in crowded situations,
CVPR03(II: 459-466).
IEEE DOI 0307
BibRef
Earlier:
Stochastic human segmentation from a static camera,
Motion02(9-14).
IEEE DOI 0303
BibRef

Zhao, T.[Tao], Nevatia, R.,
3D tracking of human locomotion: a tracking as recognition approach,
ICPR02(I: 546-551).
IEEE DOI 0211
BibRef

Zhao, T.[Tao], Nevatia, R.[Ram], Lv, F.J.[Feng-Jun],
Segmentation and Tracking of Multiple Humans in Complex Situations,
CVPR01(II:194-201).
IEEE DOI 0110
BibRef USC Computer VisionUse 3-D model approach to segmentation. See also Self-calibration of a camera from video of a walking human. BibRef

Zhao, T.[Tao], Nevatia, R.[Ram], Wu, B.[Bo],
Segmentation and Tracking of Multiple Humans in Crowded Environments,
PAMI(30), No. 7, July 2008, pp. 1198-1211.
IEEE DOI 0806
BibRef

Wu, B.[Bo], Nevatia, R.[Ram],
Detection and Tracking of Multiple, Partially Occluded Humans by Bayesian Combination of Edgelet based Part Detectors,
IJCV(75), No. 2, November 2007, pp. 247-266.
Springer DOI 0710
BibRef
Earlier:
Tracking of Multiple, Partially Occluded Humans based on Static Body Part Detection,
CVPR06(I: 951-958).
IEEE DOI 0606
BibRef
And:
Tracking of Multiple Humans in Meetings,
V4HCI06(143).
IEEE DOI 0609
BibRef
Earlier:
Detection of Multiple, Partially Occluded Humans in a Single Image by Bayesian Combination of Edgelet Part Detectors,
ICCV05(I: 90-97).
IEEE DOI 0510
See also Detection and Segmentation of Multiple, Partially Occluded Objects by Grouping, Merging, Assigning Part Detection Responses. BibRef

Wu, B.[Bo], Nevatia, R.[Ram],
Simultaneous Object Detection and Segmentation by Boosting Local Shape Feature based Classifier,
CVPR07(1-8).
IEEE DOI 0706
BibRef

Wu, B.[Bo], Nevatia, R.[Ram],
Cluster Boosted Tree Classifier for Multi-View, Multi-Pose Object Detection,
ICCV07(1-8).
IEEE DOI 0710
BibRef
Earlier:
Improving Part based Object Detection by Unsupervised, Online Boosting,
CVPR07(1-8).
IEEE DOI 0706
BibRef

Huang, C.[Chang], Li, Y.[Yuan], Nevatia, R.[Ramakant],
Multiple Target Tracking by Learning-Based Hierarchical Association of Detection Responses,
PAMI(35), No. 4, April 2013, pp. 898-910.
IEEE DOI 1303
BibRef

Huang, C.[Chang], Nevatia, R.[Ram],
High performance object detection by collaborative learning of Joint Ranking of Granules features,
CVPR10(41-48).
IEEE DOI 1006
Pedestrians. Simplated annealing. APCF Features. BibRef

Huang, C.[Chang], Wu, B.[Bo], Nevatia, R.[Ramakant],
Robust Object Tracking by Hierarchical Association of Detection Responses,
ECCV08(II: 788-801).
Springer DOI 0810
BibRef

Wu, B.[Bo], Zhang, L.[Li], Singh, V.K.[Vivek Kumar], Nevatia, R.[Ram],
Robust Object Tracking based on Detection with Soft Decision,
Motion08(1-8).
IEEE DOI 0801
BibRef

Li, Y.[Yuan], Nevatia, R.[Ram],
Key Object Driven Multi-category Object Recognition, Localization and Tracking Using Spatio-temporal Context,
ECCV08(IV: 409-422).
Springer DOI 0810
BibRef

Zhang, L.[Li], Li, Y.[Yuan], Nevatia, R.[Ramakant],
Global data association for multi-object tracking using network flows,
CVPR08(1-8).
IEEE DOI
PDF File. 0806
BibRef

Zhang, L.[Li], Nevatia, R.[Ramakant],
Efficient scan-window based object detection using GPGPU,
CVGPU08(1-7).
IEEE DOI
PDF File. 0806
BibRef

Singh, V.K.[Vivek Kumar], Wu, B.[Bo], Nevatia, R.[Ramakant],
Pedestrian Tracking by Associating Tracklets using Detection Residuals,
Motion08(1-8).
IEEE DOI 0801
BibRef

Zhang, L.[Li], Wu, B.[Bo], Nevatia, R.[Ram],
Detection and Tracking of Multiple Humans with Extensive Pose Articulation,
ICCV07(1-8).
IEEE DOI 0710
BibRef
And:
Pedestrian Detection in Infrared Images based on Local Shape Features,
OTCBVS07(1-8).
IEEE DOI 0706
BibRef

Ong, E.J.[Eng-Jon], Gong, S.G.[Shao-Gang],
The dynamics of linear combinations: Tracking 3D Skeletons of Human Subjects,
IVC(20), No. 5-6, 15 April 2002, pp. 397-414.
Elsevier DOI 0204
BibRef
Earlier:
A Dynamic 3D Human Model using Hybrid 2D-3D Representations in Hierarchical PCA Space,
BMVC99(Modelling Human Behaviour).
PDF File. 9909
BibRef
And:
Tracking Hybrid 2D-3D Human Models from Multiple Views,
MPeople99(xx-yy). BibRef

Karaulova, I.A., Hall, P.M., Marshall, A.D.,
Tracking people in three dimensions using a hierarchical model of dynamics,
IVC(20), No. 9-10, August 2002, pp. 691-700.
Elsevier DOI 0208
BibRef
Earlier:
A Hierarchical Model of Dynamics for Tracking People with a Single Video Camera,
BMVC00(xx-yy).
PDF File. 0009
BibRef

Hicks, Y.A., Hall, P.M., Marshall, A.D.,
A method to add Hidden Markov Models with application to learning articulated motion,
BMVC03(xx-yy).
HTML Version. 0409
BibRef

Krahnstoever, N.O., Yeasin, M., Sharma, R.,
Automatic acquisition and initialization of articulated models,
MVA(14), No. 4, September 2003, pp. 218-228.
Springer DOI 0309
BibRef
Earlier:
Towards a unified approach for tracking and analysis of human motion,
EventVideo01(47-54).
IEEE DOI 0106
BibRef

Krahnstoever, N.O., Sharma, R.,
Articulated models from video,
CVPR04(I: 894-901).
IEEE DOI 0408
BibRef

Mikić, I.[Ivana], Trivedi, M.M.[Mohan M.], Hunter, E.[Edward], Cosman, P.C.[Pamela C.],
Human Body Model Acquisition and Tracking Using Voxel Data,
IJCV(53), No. 3, July-August 2003, pp. 199-223.
DOI Link 0304
BibRef
Earlier:
Human Body Model Acquisition and Motion Capture Using Voxel Data,
AMDO02(104 ff).
Springer DOI 0303
BibRef
Earlier:
Articulated Body Posture Estimation from Multi-Camera Voxel Data,
CVPR01(I:455-460).
IEEE DOI 0110
From Voxel representation. Compute voxel representation from 4 cameras. BibRef

Pantrigo, J.J.[Juan José], Sánchez, Á.[Ángel], Gianikellis, K.[Kostas], Montemayor, A.S.[Antonio S.],
Combining Particle Filter and Population-based Metaheuristics for Visual Articulated Motion Tracking,
ELCVIA(5), No. 3, 2005, pp. 68-83.
WWW Link. 0506
BibRef
Earlier:
2D Human Tracking by Efficient Model Fitting Using a Path Relinking Particle Filter,
AMDO04(202-213).
Springer DOI 0505
BibRef

Pantrigo, J.J.[Juan José], Sánchez, Á.[Ángel], Montemayor, A.S.[Antonio S.], Duarte, A.,
Multi-dimensional visual tracking using scatter search particle filter,
PRL(29), No. 8, 1 June 2008, pp. 1160-1174.
Elsevier DOI 0804
Multi-dimensional visual tracking problems; Particle filters; Scatter search; Combination; Improvement BibRef

Wu, Y.[Ying], Yu, T.[Ting],
A Field Model for Human Detection and Tracking,
PAMI(28), No. 5, May 2006, pp. 753-765.
IEEE DOI 0604
BibRef
And: A2, A1:
Differential Tracking based on Spatial-Appearance Model (SAM),
CVPR06(I: 720-727).
IEEE DOI 0606
BibRef

Wu, Y.[Ying], Yu, T.[Ting], Hua, G.[Gang],
A Statistical Field Model for Pedestrian Detection,
CVPR05(I: 1023-1030).
IEEE DOI 0507
BibRef
Earlier:
Tracking appearances with occlusions,
CVPR03(I: 789-795).
IEEE DOI 0307
BibRef

Hua, G.[Gang], Wu, Y.[Ying],
A decentralized probabilistic approach to articulated body tracking,
CVIU(108), No. 3, December 2007, pp. 272-283.
Elsevier DOI 0711
Articulated body motion; Dynamic Markov network; Mean field Monte Carlo; Variational inference; Maximum a posteriori estimation BibRef

Wu, Y.[Ying], Hua, G.[Gang], Yu, T.[Ting],
Tracking articulated body by dynamic markov network,
ICCV03(1094-1101).
IEEE DOI 0311
BibRef

Sminchisescu, C.[Cristian], Triggs, B.[Bill],
Fast mixing hyperdynamic sampling,
IVC(24), No. 3, 1 March 2006, pp. 279-289.
Elsevier DOI 0604
BibRef
Earlier:
Kinematic jump processes for monocular 3D human tracking,
CVPR03(I: 69-76).
IEEE DOI 0307
BibRef
Earlier:
Hyperdynamics Importance Sampling,
ECCV02(I: 769 ff.).
Springer DOI 0205
BibRef
Earlier:
Covariance Scaled Sampling for Monocular 3D Body Tracking,
CVPR01(I:447-454).
IEEE DOI 0110
BibRef
And:
A Robust Multiple Hypothesis Approach to Monocular Human Motion Tracking,
INRIARR-4208, June 2001.
HTML Version. 0211
Hyperdynamics; Markov chain Monte-Carlo; Importance sampling; Global-optimization; Human tracking. Human body motion. hybrid search algorithm that combines inflated-covariance-scaled sampling and continuous optimization subject to physical constraints. BibRef

Agarwal, A.[Ankur], Triggs, B.[Bill],
Tracking Articulated Motion Using a Mixture of Autoregressive Models,
ECCV04(Vol III: 54-65).
Springer DOI 0405
BibRef

Roberts, T.J.[Timothy J.], McKenna, S.J.[Stephen J.], Ricketts, I.W.[Ian W.],
Human tracking using 3D surface colour distributions,
IVC(24), No. 12, 1 December 2006, pp. 1332-1342.
Elsevier DOI 0610
BibRef

Roberts, T.J.[Timothy J.], McKenna, S.J.[Stephen J.], Ricketts, I.W.[Ian W.],
Human Pose Estimation Using Partial Configurations and Probabilistic Regions,
IJCV(73), No. 3, July 2007, pp. 285-306.
Springer DOI
PDF File. 0703
BibRef
Earlier:
Human Pose Estimation Using Learnt Probabilistic Region Similarities and Partial Configurations,
ECCV04(Vol IV: 291-303).
Springer DOI
HTML Version. 0405
BibRef
Earlier:
Online appearance learning for 3d articulated human tracking,
ICPR02(I: 425-428).
IEEE DOI 0211
BibRef
Earlier:
Adaptive Learning of Statistical Appearance Models for 3D Human Tracking,
BMVC02(Poster Session). 0208
Articulated models; Sequential estimation; Human computer interfaces BibRef

Sminchisescu, C.[Cristian], Kanaujia, A.[Atul], Metaxas, D.N.[Dimitris N.],
Conditional models for contextual human motion recognition,
CVIU(103), No. 2-3, November-December 2006, pp. 210-220.
Elsevier DOI 0611
BibRef
Earlier:
Learning Joint Top-Down and Bottom-up Processes for 3D Visual Inference,
CVPR06(II: 1743-1752).
IEEE DOI 0606
Markov random fields; Discriminative models; Hidden Markov models; Multiclass logistic regression; Feature selection; Conditional models; Optimization See also Learning Multi-category Classification in Bayesian Framework. BibRef

Kanaujia, A.[Atul], Sminchisescu, C.[Cristian], Metaxas, D.N.[Dimitris N.],
Spectral Latent Variable Models for Perceptual Inference,
ICCV07(1-8).
IEEE DOI 0710
BibRef

Sminchisescu, C.[Cristian], Kanaujia, A.[Atul], Metaxas, D.N.[Dimitris N.],
BMłE : Discriminative Density Propagation for Visual Tracking,
PAMI(29), No. 11, November 2007, pp. 2030-2044.
IEEE DOI 0711
Conditional Bayesian Mixture of Experts Markov Model. Enforce temporal smoothness in motion estimates. 3D human motion in monocular video sequences. See also Tracking Facial Features Using Mixture of Point Distribution Models. BibRef

Sminchisescu, C.[Cristian], Kanaujia, A.[Atul], Li, Z.G.[Zhi-Guo], Metaxas, D.N.[Dimitris N.],
Conditional Random Fields for Contextual Human Motion Recognition,
ICCV05(II: 1808-1815).
IEEE DOI 0510
BibRef
Earlier:
Discriminative Density Propagation for 3D Human Motion Estimation,
CVPR05(I: 390-397).
IEEE DOI 0507
BibRef

Sminchisescu, C.[Cristian],
3D Human Motion Analysis in Monocular Video Techniques and Challenges,
HumMotBook08(8). 0802
BibRef
Earlier: AVSBS06(76-76).
IEEE DOI 0611
BibRef

Patwardhan, K.A.[Kedar A.], Sapiro, G.[Guillermo], Morellas, V.[Vassilios],
Robust Foreground Detection In Video Using Pixel Layers,
PAMI(30), No. 4, April 2008, pp. 746-751.
IEEE DOI
WWW Link. 0803
BibRef
Earlier:
A Graph-Based Foreground Representation and its Application in Example Based People Matching in Video,
ICIP07(V: 37-40).
IEEE DOI 0709
BibRef

Lecumberry, F.[Federico], Pardo, A.[Alvaro], Sapiro, G.[Guillermo],
Simultaneous Object Classification and Segmentation With High-Order Multiple Shape Models,
IP(19), No. 3, March 2010, pp. 625-635.
IEEE DOI 1003
BibRef
Earlier:
Multiple shape models for simultaneous object classification and segmentation,
ICIP09(3001-3004).
IEEE DOI 0911
common features of training shapes. Apply to human activities. BibRef

Rother, D.[Diego], Sapiro, G.[Guillermo],
Seeing 3D Objects in a Single 2D Image,
ICCV09(1819-1826).
IEEE DOI
PDF File. 0909
Pose, segmentation, recognition. BibRef

Rother, D.[Diego], Vidal, R.[Rene],
A hypothesize-and-bound algorithm for simultaneous object classification, pose estimation and 3D reconstruction from a single 2D image,
3DRR11(553-560).
IEEE DOI 1201
BibRef

Rother, D.[Diego], Patwardhan, K.A.[Kedar A.], Aganj, I.[Iman], Sapiro, G.[Guillermo],
3D priors for scene learning from a single view,
S3D08(1-8).
IEEE DOI 0806
BibRef

Rother, D.[Diego], Patwardhan, K.A.[Kedar A.], Sapiro, G.[Guillermo],
What Can Casual Walkers Tell Us About A 3D Scene?,
ICCV07(1-8).
IEEE DOI 0710
BibRef

Shahrokni, A.[Ali], Drummond, T.W.[Tom W.], Fleuret, F.[François], Fua, P.[Pascal],
Classification-Based Probabilistic Modeling of Texture Transition for Fast Line Search Tracking and Delineation,
PAMI(31), No. 3, March 2009, pp. 570-576.
IEEE DOI 0902
BibRef

Shahrokni, A.[Ali], Drummond, T.W.[Tom W.], Fua, P.[Pascal],
Fast Texture-Based Tracking and Delineation Using Texture Entropy,
ICCV05(II: 1154-1160).
IEEE DOI 0510
BibRef

Shahrokni, A., Lepetit, V., Drummond, T.W., Fua, P.,
Markov-based Silhouette Extraction for Three-Dimensional Body Tracking in Presence of Cluttered Background,
BMVC04(xx-yy).
HTML Version. 0508
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Shahrokni, A.[Ali], Gawley, D.[Darren], Ferryman, J.M.[James M.],
A Novel Shape Feature for Fast Region-Based Pedestrian Recognition,
ICPR10(444-447).
IEEE DOI 1008
BibRef

Kort, F., Hlavd, V.,
Detection and Tracking of Humans in Single View Sequences Using 2D Articulated Model,
HumMotBook08(5). 0802
BibRef

Mukasa, T.[Tomoyuki], Nobuhara, S.[Shohei], Maki, A.[Atsuto], Matsuyama, T.[Takashi],
Finding Kinematic Structure in Time Series Volume Data,
ELCVIA(7), No. 4, 2008, pp. xx-yy.
WWW Link. 0909
Kinematic structure consistent with geometric structure. BibRef

Mukasa, T.[Tomoyuki], Miyamoto, A.[Arata], Nobuhara, S.[Shohei], Maki, A.[Atsuto], Matsuyama, T.[Takashi],
Complex human motion estimation using visibility,
FG08(1-6).
IEEE DOI 0809
BibRef

Huang, P.[Peng], Tung, T.[Tony], Nobuhara, S.[Shohei], Hilton, A.[Adrian], Matsuyama, T.[Takashi],
Comparison of Skeleton and Non-Skeleton Shape Descriptors for 3D Video,
3DPVT10(xx-yy).
WWW Link. 1005
Tracking people. See also Hierarchical Shape Matching for Temporally Consistent 3D Video. BibRef

Darolti, C.[Cristina], Mertins, A.[Alfred], Bodensteiner, C., Hofmann, U.G.[Ulrich G.],
Local Region Descriptors for Active Contours Evolution,
IP(17), No. 12, December 2008, pp. 2275-2288.
IEEE DOI 0811
BibRef

Darolti, C.[Cristina], Mertins, A.[Alfred], Hofmann, U.G.[Ulrich G.],
A Fast Level-Set Method for Accurate Tracking of Articulated Objects with an Edge-Based Binary Speed Term,
ACIVS07(828-839).
Springer DOI 0708
BibRef

Knossow, D.[David], Ronfard, R.[Rémi], Horaud, R.[Radu],
Human Motion Tracking with a Kinematic Parameterization of Extremal Contours,
IJCV(79), No. 3, September 2008, pp. xx-yy.
Springer DOI 0806
BibRef

Knossow, D.[David], van de Weijer, J.[Joost], Horaud, R.[Radu], Ronfard, R.[Rémi],
Articulated-Body Tracking Through Anisotropic Edge Detection,
WDV06(86-99).
Springer DOI 0705
BibRef

Knossow, D.[David], Ronfard, R.[Rémi], Horaud, R.[Radu], Devernay, F.[Frédéric],
Tracking with the Kinematics of Extremal Contours,
ACCV06(I:664-673).
Springer DOI 0601
BibRef

Rius, I.[Ignasi], Gonzalez, J.[Jordi], Varona, J.[Javier], Roca, F.X.[F. Xavier],
Action-specific motion prior for efficient Bayesian 3D human body tracking,
PR(42), No. 11, November 2009, pp. 2907-2921.
Elsevier DOI 0907
Human motion modelling; 3D human body tracking; Human motion capture; Visual tracking BibRef

Rius, I.[Ignasi], Varona, J.[Javier], Gonzalez, J.[Jordi], Villanueva, J.J.[Juan J.],
Action Spaces for Efficient Bayesian Tracking of Human Motion,
ICPR06(I: 472-475).
IEEE DOI 0609
BibRef

Gonzŕlez, J.[Jordi], Varona, J.[Javier], Roca, F.X.[F. Xavier], Villanueva, J.J.[Juan José],
aSpaces: Action Spaces for Recognition and Synthesis of Human Actions,
AMDO02(189 ff).
Springer DOI 0303
BibRef

Brubaker, M.A.[Marcus A.], Fleet, D.J.[David J.], Hertzmann, A.[Aaron],
Physics-Based Person Tracking Using the Anthropomorphic Walker,
IJCV(87), No. 1-2, March 2010, pp. xx-yy.
Springer DOI 1001
BibRef
Earlier:
Physics-Based Person Tracking Using Simplified Lower-Body Dynamics,
CVPR07(1-8).
IEEE DOI 0706
BibRef

Brubaker, M.A.[Marcus A.], Fleet, D.J.[David J.],
The Kneed Walker for human pose tracking,
CVPR08(1-8).
IEEE DOI 0806
BibRef

Sidenbladh, H., Black, M.J., Fleet, D.J.,
Stochastic Tracking of 3D Human Figures using 2D Image Motion,
ECCV00(II: 702-718).
Springer DOI
WWW Link. 0003
BibRef

Li, R.[Rui], Tian, T.P.[Tai-Peng], Sclaroff, S.[Stan], Yang, M.H.[Ming-Hsuan],
3D Human Motion Tracking with a Coordinated Mixture of Factor Analyzers,
IJCV(87), No. 1-2, March 2010, pp. xx-yy.
Springer DOI 1001
BibRef
Earlier: A1, A4, A3, A2:
Monocular Tracking of 3D Human Motion with a Coordinated Mixture of Factor Analyzers,
ECCV06(II: 137-150).
Springer DOI 0608
BibRef

Li, R.[Rui], Tian, T.P.[Tai-Peng], Sclaroff, S.[Stan],
Simultaneous Learning of Nonlinear Manifold and Dynamical Models for High-dimensional Time Series,
ICCV07(1-8).
IEEE DOI 0710
Applied to dimensionality reduction, video synthesis from dynamic texture, human motion analysis. BibRef

Tian, T.P.[Tai-Peng], Sclaroff, S.[Stan],
Fast Multi-aspect 2D Human Detection,
ECCV10(III: 453-466).
Springer DOI 1009
BibRef
And:
Fast globally optimal 2D human detection with loopy graph models,
CVPR10(81-88).
IEEE DOI 1006
BibRef

Medrano, C.[Carlos], Martínez-del-Rincón, J.[Jesús], Igual, R.[Raúl], Herrero, J.E.[José Elías], Orrite-Urunuela, C.[Carlos],
Gaussian Approximation for Tracking Occluding and Interacting Targets,
JMIV(36), No. 3, March 2010, pp. xx-yy.
Springer DOI 1003
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Dealing with Non-linearity in Shape Modelling of Articulated Objects,
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Springer DOI 0706
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Rogez, G.[Grégory], Rius, I.[Ignasi], Martínez-del-Rincón, J.[Jesús], Orrite-Urunuela, C.[Carlos],
Exploiting Spatio-temporal Constraints for Robust 2D Pose Tracking,
HUMO07(58-73).
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Rao-Blackwellized Particle Filter for Human Appearance and Position Tracking,
IbPRIA07(I: 201-208).
Springer DOI 0706
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Rogez, G.[Gregory], Guerrero, J.J., Orrite-Urunuela, C.[Carlos],
View-invariant human feature extraction for video-surveillance applications,
AVSBS07(324-329).
IEEE DOI 0709
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Rogez, G.[Grégory], Orrite, C.[Carlos], Guerrero, J.J., Torr, P.H.S.[Philip H.S.],
Exploiting projective geometry for view-invariant monocular human motion analysis in man-made environments,
CVIU(120), No. 1, 2014, pp. 126-140.
Elsevier DOI 1403
Human motion analysis BibRef

Rogez, G.[Grégory], Guerrero, J.J., Martínez del Rincon, J.[Jesús], Orrite-Urunuela, C.[Carlos],
Viewpoint Independent Human Motion Analysis in Man-made Environments,
BMVC06(II:659).
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Probabilistic Spatio-temporal 2D-Model for Pedestrian Motion Analysis in Monocular Sequences,
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Springer DOI 0607
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Kim, D.,
A Fast ICP Algorithm for 3-D Human Body Motion Tracking,
SPLetters(17), No. 4, April 2010, pp. 402-405.
IEEE DOI 1003
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Raskin, L.[Leonid], Rudzsky, M.[Michael], Rivlin, E.[Ehud],
Dimensionality reduction using a Gaussian Process Annealed Particle Filter for tracking and classification of articulated body motions,
CVIU(115), No. 4, April 2011, pp. 503-519.
Elsevier DOI 1103
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H-APF: Using hierarchical representation of human body for 3-D articulated tracking and action classification,
MLMotion09(452-459).
IEEE DOI 0910
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And:
3D Body-part tracking of two persons using a hierarchical body model,
THEMIS09(996-1003).
IEEE DOI 0910
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BMVC09(xx-yy).
PDF File.
WWW Link. 0909
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And:
Using Hierarchical Models for 3D Human Body-Part Tracking,
SCIA09(11-20).
Springer DOI 0906
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Earlier:
Tracking and Classifying of Human Motions with Gaussian Process Annealed Particle Filter,
ACCV07(I: 442-451).
Springer DOI 0711
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And: A1, A3, A2:
Dimensionality Reduction for Articulated Body Tracking,
3DTV07(1-4).
IEEE DOI 0705
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And: A1, A3, A2:
Using Gaussian Processes for Human Tracking and Action Classification,
ISVC07(I: 36-45).
Springer DOI 0711
Articulated body tracking; Dimensionality reduction; Action classification BibRef

Sridhar, A.[Anuraag], Sowmya, A.[Arcot],
Distributed, multi-sensor tracking of multiple participants within immersive environments using a 2-cohort camera setup,
MVA(22), No. 6, November 2011, pp. 1009-1025.
WWW Link. 1110
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Multiple Camera, Multiple Person Tracking with Pointing Gesture Recognition in Immersive Environments,
ISVC08(I: 508-519).
Springer DOI 0812
Gesture Recognition. BibRef

Bhaskar, H.[Harish], Mihaylova, L.[Lyudmila],
Combined Data Association and Evolving Particle Filter for Tracking of Multiple Articulated Objects,
JIVP(2011), No. 2011, pp. xx-yy.
DOI Link 1103
Tracking multiple people. See also Structural similarity-based object tracking in multimodality surveillance videos. See also Sequential Monte Carlo tracking by fusing multiple cues in video sequences. BibRef

Li, G.R.[Guo-Rong], Huang, Q.M.[Qing-Ming], Qin, L., Jiang, S.Q.[Shu-Qiang],
SSOCBT: A Robust Semisupervised Online CovBoost Tracker That Uses Samples Differently,
CirSysVideo(23), No. 4, April 2013, pp. 695-709.
IEEE DOI 1304
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Li, G.R.[Guo-Rong], Qin, L.[Lei], Huang, Q.M.[Qing-Ming], Pang, J.B.[Jun-Biao], Jiang, S.Q.[Shu-Qiang],
Treat samples differently: Object tracking with semi-supervised online CovBoost,
ICCV11(627-634).
IEEE DOI 1201
In tracking, not all samples are the same. BibRef

Xu, Y.K.[Ying-Kun], Qin, L.[Lei], Jiang, S.Q.[Shu-Qiang], Huang, Q.M.[Qing-Ming],
Human tracking by structured body parts,
ICIP11(2305-2308).
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Gonczarek, A.[Adam], Tomczak, J.M.[Jakub M.],
Articulated tracking with manifold regularized particle filter,
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Kwak, J.Y.[Joon-Young], Ko, B.C.[Byoung-Chul], Nam, J.Y.[Jae-Yeal],
Pedestrian Tracking Using Online Boosted Random Ferns Learning in Far-Infrared Imagery for Safe Driving at Night,
ITS(18), No. 1, January 2017, pp. 69-81.
IEEE DOI 1701
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Multi-person Tracking Based on Body Parts and Online Random Ferns Learning of Thermal Images,
WACV15(41-46)
IEEE DOI 1503
Accidents. Computer vision; BibRef


Little, J.J.[James J.],
Real-Time Human Motion Capture with Multiple Depth Cameras,
CRV16(24-31)
IEEE DOI 1612
depth sensors;human motion capture BibRef

Wang, W.J.[Wei-Jun], Nevatia, R.[Ram], Yang, B.[Bo],
Beyond Pedestrians: A Hybrid Approach of Tracking Multiple Articulating Humans,
WACV15(132-139)
IEEE DOI 1503
Color; Detectors;Reliability; Target tracking;Training;Visualization BibRef

Xie, Y.[Yi], Pei, M.[Mingtao], Liu, Z.[Zhao], Wu, T.F.[Tian-Fu],
Tracking Pedestrian with Multi-component Online Deformable Part-Based Model,
ACCV12(III:664-676).
Springer DOI 1304
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Zhu, Q.X.[Qing-Xiang], Xiong, H.K.[Hong-Kai], Jiang, X.Q.[Xiao-Qian],
Shape-oriented segmentation with graph matching corroboration for silhouette tracking,
VCIP12(1-6).
IEEE DOI 1302
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Bonnin, A., Borras, R., Vitria, J.,
A cluster-based strategy for active learning of RGB-D object detectors,
ConDepth11(1215-1220).
IEEE DOI 1201
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Corvee, E., Bremond, F.,
Body Parts Detection for People Tracking Using Trees of Histogram of Oriented Gradient Descriptors,
AVSS10(469-475).
IEEE DOI 1009
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Sherrah, J.[Jamie],
Occluded Pedestrian Tracking Using Body-Part Tracklets,
DICTA10(314-319).
IEEE DOI 1012
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Dixit, M.[Mandar], Venkatesh, K.S.,
Combining Edge and Color Features for Tracking Partially Occluded Humans,
ACCV09(II: 140-149).
Springer DOI 0909
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Kwolek, B.[Bogdan], Krzeszowski, T.[Tomasz], Gagalowicz, A.[André], Wojciechowski, K.[Konrad], Josinski, H.[Henryk],
Real-Time Multi-view Human Motion Tracking Using Particle Swarm Optimization with Resampling,
AMDO12(92-101).
Springer DOI 1208
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Kwolek, B.[Bogdan], Krzeszowski, T.[Tomasz], Wojciechowski, K.[Konrad],
Real-Time Multi-view Human Motion Tracking Using 3D Model and Latency Tolerant Parallel Particle Swarm Optimization,
MIRAGE11(169-180).
Springer DOI 1110
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Earlier:
Swarm Intelligence Based Searching Schemes for Articulated 3D Body Motion Tracking,
ACIVS11(115-126).
Springer DOI 1108
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Earlier: A2, A1, A3:
Articulated Body Motion Tracking by Combined Particle Swarm Optimization and Particle Filtering,
ICCVG10(I: 147-154).
Springer DOI 1009
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Kwolek, B.[Bogdan],
Object Tracking via Multi-region Covariance and Particle Swarm Optimization,
AVSBS09(418-423).
IEEE DOI 0909
BibRef
Earlier:
3D Model-Based Tracking of the Human Body in Monocular Gray-Level Images,
MIRAGE07(494-505).
Springer DOI 0703
BibRef
Earlier:
Object Tracking Using Discriminative Feature Selection,
ACIVS06(287-298).
Springer DOI 0609
BibRef
Earlier:
CamShift-Based Tracking in Joint Color-Spatial Spaces,
CAIP05(693).
Springer DOI 0509
BibRef

Austvoll, I.[Ivar], Kwolek, B.[Bogdan],
Region Covariance Matrix-Based Object Tracking with Occlusions Handling,
ICCVG10(I: 201-208).
Springer DOI 1009
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Rymut, B.[Boguslaw], Kwolek, B.[Bogdan], Krzeszowski, T.[Tomasz],
GPU-Accelerated Human Motion Tracking Using Particle Filter Combined with PSO,
ACIVS13(426-437).
Springer DOI 1311
Low Level Image Analysis and Segmentation BibRef

Rymut, B.[Boguslaw], Kwolek, B.[Bogdan],
GPU-Supported Object Tracking Using Adaptive Appearance Models and Particle Swarm Optimization,
ICCVG10(II: 227-234).
Springer DOI 1009
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Kwolek, B.[Bogdan],
Learning-Based Object Tracking Using Boosted Features and Appearance-Adaptive Models,
ACIVS07(144-155).
Springer DOI 0708
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Yan, J.C.[Jun-Chi], Li, Y.[Yin], Zheng, E.L.[En-Liang], Liu, Y.C.[Yun-Cai],
An Accelerated Human Motion Tracking System Based on Voxel Reconstruction under Complex Environments,
ACCV09(II: 313-324).
Springer DOI 0909
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Chen, Y.L.[Yen-Lin], Chai, J.X.[Jin-Xiang],
3D Reconstruction of Human Motion and Skeleton from Uncalibrated Monocular Video,
ACCV09(I: 71-82).
Springer DOI 0909
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Bandouch, J.[Jan], Beetz, M.[Michael],
Tracking humans interacting with the environment using efficient hierarchical sampling and layered observation models,
HCI09(2040-2047).
IEEE DOI 0910
51 DoF human model. BibRef

Bandouch, J.[Jan], Engstler, F.[Florian], Beetz, M.[Michael],
Accurate Human Motion Capture Using an Ergonomics-Based Anthropometric Human Model,
AMDO08(xx-yy).
Springer DOI 0807
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Chen, C.[Cheng], Fan, G.L.[Guo-Liang],
Combining spatial and temporal priors for articulated human tracking with online learning,
WDV09(719-726).
IEEE DOI 0910
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Unsupervised learning of human body parts from video footage,
NORDIA09(336-343).
IEEE DOI 0910
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Badrinarayanan, V.[Vijay], Perez, P.[Patrick], Le Clerc, F.[Francois], Oisel, L.[Lionel],
Geometric Layout Based Graphical Model for Multi-Part Object Tracking,
VS08(xx-yy). 0810
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Earlier:
Probabilistic Color and Adaptive Multi-Feature Tracking with Dynamically Switched Priority Between Cues,
ICCV07(1-8).
IEEE DOI 0710
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And:
On Uncertainties, Random Features and Object Tracking,
ICIP07(V: 61-64).
IEEE DOI 0709
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Mohedano, R.[Raul], del-Blanco, C.R.[Carlos R.], Jaureguizar, F.[Fernando], Salgado, L.[Luis], Garcia, N.[Narciso],
Robust 3D people tracking and positioning system in a semi-overlapped multi-camera environment,
ICIP08(2656-2659).
IEEE DOI 0810
BibRef

Caglar, M.B., da Vitoria Lobo, N.,
Self Correcting Tracking for Articulated Objects,
FGR06(609-616).
IEEE DOI 0604
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Hiromoto, M.[Masayuki], Miyamoto, R.[Ryusuke],
Hardware architecture for high-accuracy real-time pedestrian detection with CoHOG features,
EmbedCV09(894-899).
IEEE DOI 0910
BibRef
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Cascade Classifier Using Divided CoHOG Features for Rapid Pedestrian Detection,
CVS09(53-62).
Springer DOI 0910
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Pedestrian Recognition in Far-Infrared Images by Combining Boosting-Based Detection and Skeleton-Based Stochastic Tracking,
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Ashida, J., Miyamoto, R., Tsutsui, H., Onoye, T., Nakamura, Y.,
Probabilistic Pedestrian Tracking Based on a Skeleton Model,
ICIP06(2825-2828).
IEEE DOI 0610
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Zhang, Z.[Zhong], Venetianer, P.L.[Péter L.], Lipton, A.J.[Alan J.],
A Robust Human Detection and Tracking System using a Human-Model-Based Camera Calibration,
VS08(xx-yy). 0810
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Multi-level Particle Filter Fusion of Features and Cues for Audio-Visual Person Tracking,
MTPH07(xx-yy).
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Automatic Person Detection and Tracking using Fuzzy Controlled Active Cameras,
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IEEE DOI 0706
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Bernardin, K.[Keni], Elbs, A.[Alexander], Stiefelhagen, R.[Rainer],
Detection-Assisted Initialization, Adaptation and Fusion of Body Region Trackers for Robust Multiperson Tracking,
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IEEE DOI 0609
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Chen, H.T.[Hwann-Tzong], Liu, T.L.[Tyng-Luh], Fuh, C.S.[Chiou-Shann],
Segmenting Highly Articulated Video Objects with Weak-Prior Random Forests,
ECCV06(IV: 373-385).
Springer DOI 0608
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Balan, A.O.[Alexandru O.], Black, M.J.[Michael J.],
An Adaptive Appearance Model Approach for Model-based Articulated Object Tracking,
CVPR06(I: 758-765).
IEEE DOI 0606
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Balan, A.O., Sigal, L., Black, M.J.,
A Quantitative Evaluation of Video-based 3D Person Tracking,
PETS05(349-356).
IEEE DOI 0602
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Zhang, J.Y.[Jia-Yong], Liu, Y.X.[Yan-Xi], Luo, J.B.[Jie-Bo], Collins, R.T.[Robert T.],
Body Localization in Still Images Using Hierarchical Models and Hybrid Search,
CVPR06(II: 1536-1543).
IEEE DOI 0606
BibRef

Zhang, J.Y.[Jia-Yong], Collins, R.T.[Robert T.], Liu, Y.X.[Yan-Xi],
Bayesian Body Localization Using Mixture of Nonlinear Shape Models,
ICCV05(I: 725-732).
IEEE DOI 0510
Model body parts for pedestrians. BibRef

Zhang, J.Y.[Jia-Yong], Collins, R.T., Liu, Y.X.[Yan-Xi],
Representation and matching of articulated shapes,
CVPR04(II: 342-349).
IEEE DOI 0408
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Cuzzolin, F., Sarti, A., Tubaro, S.,
Action modeling with volumetric data,
ICIP04(II: 881-884).
IEEE DOI 0505
BibRef

Curio, C.[Cristóbal], Giese, M.A.[Martin A.],
Combining View-Based and Model-Based Tracking of Articulated Human Movements,
Motion05(II: 261-268).
IEEE DOI 0502
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Ragheb, H.[Hossein], Velastin, S.A.[Sergio A.], Remagnino, P.[Paolo], Ellis, T.[Tim],
Human action recognition using robust power spectrum features,
ICIP08(753-756).
IEEE DOI 0810
BibRef
And:
ViHASi: Virtual human action silhouette data for the performance evaluation of silhouette-based action recognition methods,
ICDSC08(1-10).
IEEE DOI 0809
BibRef
And: VNBA08(77-84).
DOI Link 1208
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And:
A Novel Approach for Fast Action Recognition using Simple Features,
VS08(xx-yy). 0810
Dataset, Action Recognition. Silhouette based action recognition. BibRef

Orrite, C.[Carlos], Monforte, P.[Pedro], Rodriguez, M.[Mario], Herrero, E.[Elías],
Human Action Recognition under Partial Occlusions,
IbPRIA13(398-405).
Springer DOI 1307
BibRef

Martinez-Contreras, F.[Francisco], Orrite-Urunuela, C.[Carlos], Herrero-Jaraba, E.[Elias], Ragheb, H.[Hossein], Velastin, S.A.[Sergio A.],
Recognizing Human Actions Using Silhouette-based HMM,
AVSBS09(43-48).
IEEE DOI 0909
BibRef
Earlier: A2, A1, A3, A4, A5:
Independent viewpoint silhouette-based human action modeling and recognition,
MLMotion08(xx-yy). 0810
BibRef

Orrite-Urunuela, C., Martinez del Rincon, J., Herrero-Jaraba, J.E., Rogez, G.,
2D silhouette and 3D skeletal models for human detection and tracking,
ICPR04(IV: 244-247).
IEEE DOI 0409
BibRef

Lim, J.W.[Jong-Woo], Kriegman, D.,
Tracking humans using prior and learned representations of shape and appearance,
AFGR04(869-874).
WWW Link. 0411
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Panagiotakis, C.[Costas], Tziritas, G.[Georgios],
Recognition and Tracking of the Members of a Moving Human Body,
AMDO04(86-98).
Springer DOI 0505
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Moeslund, T.B.[Thomas B.], Granum, E.[Erik],
Bootstrapping Sequential Monte Carlo Tracking,
SCIA03(1030-1037).
Springer DOI 0310
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And:
Sequential Monte Carlo tracking of body parameters in a sub-space,
AMFG03(84-91).
IEEE Abstract. 0311
BibRef

Huang, Y.[Yu], Huang, T.S.,
Model-based human body tracking,
ICPR02(I: 552-555).
IEEE DOI 0211
BibRef

Sidenbladh, H., Black, M.J., Sigal, L.,
Implicit Probabilistic Models of Human Motion for Synthesis and Tracking,
ECCV02(I: 784 ff.).
Springer DOI 0205
BibRef

DiFranco, D.E.[David E.], Cham, T.J.[Tat-Jen], Rehg, J.M.[James M.],
Reconstruction of 3D Figure Motion from 2D Correspondences,
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IEEE DOI 0110
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Rehg, J.M.[James M.], Rowley, H.A.[Henry A.],
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US_Patent5,930,379, Jul 27, 1999
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And: A2, A1:
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CVPR97(935-941).
IEEE DOI 9704
Actions. Using optic flow. BibRef

Grammalidis, N., Goussis, G., Troufakos, G., Strintzis, M.G.,
3-D Human Body Tracking from Depth Images Using Analysis by Synthesis,
ICIP01(II: 185-188).
IEEE DOI 0108
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Hoshino, J., Saito, H., Yamamoto, M.,
Automatic Registration of Virtual Objects onto Human Image Sequences,
ICPR00(Vol III: 171-173).
IEEE DOI 0009
Tracking people. BibRef

Kagami, S., Okada, K., Inaba, M., Inoue, H.,
Realtime 3D Depth Flow Generation and Its Application to Track to Walking Human Being,
ICPR00(Vol IV: 197-200).
IEEE DOI 0009
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Pan, C.H.[Chun-Hong], Ma, S.D.[Song-De],
Parametric tracking of human contour by exploiting intelligent edge,
AFGR04(663-668).
WWW Link. 0411
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Pan, C.H.[Chun-Hong], Ma, S.D.[Song-De],
3D Motion Estimation of Human by Genetic Algorithm,
ICPR00(Vol I: 159-163).
IEEE DOI 0009
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Segawa, H.[Hiroyuki], Totsuka, T.[Takashi],
Torque-based Recursive Filtering Approach to the Recovery of the 3-D Articulated Motion from Image Sequences,
CVPR99(II: 340-345).
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Segawa, H.[Hiroyuki], Hiraki, N.[Norikazu], Shioya, H.[Hiroyuki], Totsuka, T.[Takashi],
Constraint-conscious Smoothing Framework for the Recovery of 3D Articulated Motion from Image Sequences,
AFGR00(476-482).
IEEE DOI 0003
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Jojic, N.[Nebojsa], Turk, M.A.[Matthew A.],
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US_Patent6,674,877, Jan 6, 2004
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Jojic, N., Turk, M.A., Huang, T.S.,
Tracking Self-Occluding Articulated Objects in Dense Disparity Maps,
ICCV99(123-130).
IEEE DOI BibRef 9900

Yaniz, C., Rocha, J.,
Matching of 3d Graphs for Human Motion Analysis,
MVA98(xx-yy). BibRef 9800

Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Tracking Animals, Animal Gait .


Last update:Sep 25, 2017 at 16:36:46