17.1.3.4.17 Tracking People with 3D Models, Articulation Models

Chapter Contents (Back)
Motion, Human. Tracking. Depth.
See also Human Pose Tracking, Posture Tracking, Posture from Video, Pose from Motion. Pose Descriptions:
See also Articulated Human Pose Desicriptions.

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

Nickels, K.M.[Kevin M.], Hutchinson, S.A.[Seth A.],
Model-Based Tracking of Complex Articulated Objects,
RA(17), No. 1, February 2001, pp. 28-36. BibRef 0102

Nickels, K.M.[Kevin M.],
Model Based Tracking of Articulated Objects,
Ph.D.Thesis, August 1998. BibRef 9808 UIUC 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 Segmentation of Multiple, Partially Occluded Objects by Grouping, Merging, Assigning Part Detection Responses,
IJCV(82), No. 2, April 2009, pp. xx-yy.
Springer DOI 0903
BibRef
Earlier:
Optimizing discrimination-efficiency tradeoff in integrating heterogeneous local features for object detection,
CVPR08(1-8).
IEEE DOI
PDF File. 0806

See also Detection and Tracking of Multiple, Partially Occluded Humans by Bayesian Combination of Edgelet based Part Detectors. BibRef

Wu, B.[Bo], Nevatia, R.[Ram], Li, Y.[Yuan],
Segmentation of multiple, partially occluded objects by grouping, merging, assigning part detection responses,
CVPR08(1-8).
IEEE DOI
PDF File. 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

Mikiæ, 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.
DOI Link 0506
BibRef
Earlier:
2D Human Tracking by Efficient Model Fitting Using a Path Relinking Particle Filter,
AMDO04(202-213).
Springer DOI 0505
BibRef

Qu, W.[Wei], Schonfeld, D.[Dan],
Real-Time Decentralized Articulated Motion Analysis and Object Tracking From Videos,
IP(16), No. 8, August 2007, pp. 2129-2138.
IEEE DOI 0709
BibRef

Qu, W.[Wei], Schonfeld, D.[Dan],
Robust Control-Based Object Tracking,
IP(17), No. 9, September 2008, pp. 1721-1726.
IEEE DOI 0810
BibRef
Earlier:
Robust Kernel-Based Tracking using Optimal Control,
ICIP06(1777-1780).
IEEE DOI 0610
BibRef

Qu, W.[Wei], Schonfeld, D.[Dan], Mohamed, M.[Magdi],
Real-Time Interactively Distributed Multi-Object Tracking Using a Magnetic-Inertia Potential Model,
ICCV05(I: 535-540).
IEEE DOI 0510
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

Su, B.[Bing], Wu, Y.[Ying],
Learning Low-Dimensional Temporal Representations with Latent Alignments,
PAMI(42), No. 11, November 2020, pp. 2842-2857.
IEEE DOI 2010
Feature extraction, Hidden Markov models, Training, Motion segmentation, Dimensionality reduction, discriminant analysis 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.],
BM³E : 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
BibRef

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.
DOI 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

Gonzàlez, 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,
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IJCV(87), No. 1-2, March 2010, pp. xx-yy.
Springer DOI 1001
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Earlier:
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IEEE DOI 0910
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THEMIS09(996-1003).
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BMVC09(xx-yy).
PDF File.
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SCIA09(11-20).
Springer DOI 0906
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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:
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ISVC07(I: 36-45).
Springer DOI 0711
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Sridhar, A.[Anuraag], Sowmya, A.[Arcot],
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MVA(22), No. 6, November 2011, pp. 1009-1025.
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Multiple Camera, Multiple Person Tracking with Pointing Gesture Recognition in Immersive Environments,
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Bhaskar, H.[Harish], Mihaylova, L.[Lyudmila],
Combined Data Association and Evolving Particle Filter for Tracking of Multiple Articulated Objects,
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IEEE DOI 1304
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Xu, Y.K.[Ying-Kun], Qin, L.[Lei], Jiang, S.Q.[Shu-Qiang], Huang, Q.M.[Qing-Ming],
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Sun, M.[Min], Bao, S.Y.Z.[Sid Ying-Ze], Savarese, S.[Silvio],
Object Detection using Geometrical Context Feedback,
IJCV(100), No. 2, November 2012, pp. 154-169.
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CVPR09(1247-1254).
IEEE DOI 0906
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Earlier: A2, A1, A4, A3:
Learning a dense multi-view representation for detection, viewpoint classification and synthesis of object categories,
ICCV09(213-220).
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Bao, S.Y.Z.[Sid Ying-Ze], Bagra, M.[Mohit], Chao, Y.W.[Yu-Wei], Savarese, S.[Silvio],
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CVPR12(2703-2710).
IEEE DOI 1208
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Earlier: A1, A2, A4, Only:
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RobPerc11(982-989).
IEEE DOI 1201
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Earlier: A1, A4, Only:
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CVPR11(2025-2032).
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Salih, Y.[Yasir], Malik, A.S.[Aamir Saeed],
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Kalman filter; 3D tracking; Motion cue; Particle filter; Condensation algorithm; Articulated object tracking BibRef

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Elsevier DOI 1209
Re-identification; Gait; Pose Energy Image; Phase of motion; Dynamic programing; Spatiotemporal model BibRef

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geometry BibRef

Nambiar, A.[Athira], Bernardino, A.[Alexandre], Nascimento, J.C.[Jacinto C.],
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PRL(68, Part 2), No. 1, 2015, pp. 297-305.
Elsevier DOI 1512
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Nambiar, A.[Athira], Nascimento, J.C.[Jacinto C.], Bernardino, A.[Alexandre], Santos-Victor, J.[José],
Person Re-identification in Frontal Gait Sequences via Histogram of Optic Flow Energy Image,
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Gonczarek, A.[Adam], Tomczak, J.M.[Jakub M.],
Articulated tracking with manifold regularized particle filter,
MVA(27), No. 2, February 2016, pp. 275-286.
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Sigalas, M.[Markos], Pateraki, M.[Maria], Trahanias, P.E.[Panos E.],
Full-Body Pose Tracking: The Top View Reprojection Approach,
PAMI(38), No. 8, August 2016, pp. 1569-1582.
IEEE DOI 1608
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Visual Estimation of Attentive Cues in HRI: The Case of Torso and Head Pose,
CVS15(375-388).
Springer DOI 1507
cameras BibRef

Sigalas, M.[Markos], Pateraki, M.[Maria], Oikonomidis, I., Trahanias, P.E.[Panos E.],
Robust Model-Based 3D Torso Pose Estimation in RGB-D Sequences,
4DMOD13(315-322)
IEEE DOI 1403
computer vision BibRef

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)
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Accidents. BibRef

Simo-Serra, E.[Edgar], Torras, C.[Carme], Moreno-Noguer, F.[Francesc],
3D Human Pose Tracking Priors using Geodesic Mixture Models,
IJCV(122), No. 2, April 2017, pp. 388-408.
Springer DOI 1704
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Earlier:
Lie Algebra-Based Kinematic Prior for 3D Human Pose Tracking,
MVA15(394-397)
IEEE DOI 1507
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Earlier:
Geodesic Finite Mixture Models,
BMVC14(xx-yy).
HTML Version. 1410
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Huang, C.H.P.[Chun-Hao Paul], Allain, B.[Benjamin], Boyer, E.[Edmond], Franco, J.S.[Jean-Sébastien], Tombari, F.[Federico], Navab, N.[Nassir], Ilic, S.[Slobodan],
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IEEE DOI 1807
Data models, Deformable models, Iterative closest point algorithm, Robustness, Shape, random forest BibRef

Huang, C.H.[Chun-Hao], Boyer, E.[Edmond], do Canto Angonese, B.[Bibiana], Navab, N.[Nassir], Ilic, S.[Slobodan],
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Shen, D., Zhao, S., Hu, J., Feng, H., Cai, D., He, X.,
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Task analysis, Visualization, Training, Feature extraction, Random access memory, Image segmentation, Force, visualization BibRef


Xiang, W.M.[Wang-Meng], Huang, J.Q.[Jian-Qiang], Hua, X.S.[Xian-Sheng], Zhang, L.[Lei],
Part-aware Attention Network for Person Re-identification,
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Jin, S.[Sheng], Liu, W.T.[Wen-Tao], Ouyang, W.L.[Wan-Li], Qian, C.[Chen],
Multi-Person Articulated Tracking With Spatial and Temporal Embeddings,
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IEEE DOI 2002
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Nambiar, A.[Athira], Bernardino, A.[Alexandre], Nascimento, J.C.[Jacinto C.], Fred, A.,
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FG17(973-980)
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Cameras, Context, Data mining, Feature extraction, Knee, Legged locomotion, Skeleton BibRef

Planinc, R.[Rainer], Kampel, M.[Martin],
Local behavior modeling based on long-term tracking data,
MVA15(303-306)
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And:
Human Centered Scene Understanding Based on 3D Long-Term Tracking Data,
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Springer DOI 1506
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Earlier:
Human Centered Scene Understanding Based on Depth Information: How to Deal with Noisy Skeleton Data?,
ISVC14(I: 609-618).
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Re-Id14(241-255).
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Real-Time Human Motion Capture with Multiple Depth Cameras,
CRV16(24-31)
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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

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HIS14(633-649).
Springer DOI 1504
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Liu, Z.[Zheng], Zhang, Z.X.[Zhao-Xiang], Wu, Q.A.[Qi-Ang], Wang, Y.H.[Yun-Hong],
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Gait14(I: 35-45).
Springer DOI 1504
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Helten, T.[Thomas], Muller, M.[Meinard], Seidel, H.P.[Hans-Peter], Theobalt, C.[Christian],
Real-Time Body Tracking with One Depth Camera and Inertial Sensors,
ICCV13(1105-1112)
IEEE DOI 1403
Depth tracking; inertial sensors; real-time; sensor fusion BibRef

Helten, T., Baak, A., Bharaj, G., Muller, M., Seidel, H.P., Theobalt, C.,
Personalization and Evaluation of a Real-Time Depth-Based Full Body Tracker,
3DV13(279-286)
IEEE DOI 1311
image motion analysis BibRef

Makihara, Y.S.[Yasu-Shi], Muramatsu, D., Iwama, H.[Haruyuki], Yagi, Y.S.[Yasu-Shi],
On combining gait features,
FG13(1-8)
IEEE DOI 1309
biometrics (access control) 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],
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Bonnin, A., Borras, R., Vitria, J.,
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ConDepth11(1215-1220).
IEEE DOI 1201
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AVSS10(469-475).
IEEE DOI 1009
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Sherrah, J.[Jamie],
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DICTA10(314-319).
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Dixit, M.[Mandar], Venkatesh, K.S.,
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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],
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AMDO12(92-101).
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Kwolek, B.[Bogdan], Krzeszowski, T.[Tomasz], Wojciechowski, K.[Konrad],
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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:
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ICCVG10(I: 147-154).
Springer DOI 1009
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Kwolek, B.[Bogdan],
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AVSBS09(418-423).
IEEE DOI 0909
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Earlier:
3D Model-Based Tracking of the Human Body in Monocular Gray-Level Images,
MIRAGE07(494-505).
Springer DOI 0703
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Earlier:
Object Tracking Using Discriminative Feature Selection,
ACIVS06(287-298).
Springer DOI 0609
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Earlier:
CamShift-Based Tracking in Joint Color-Spatial Spaces,
CAIP05(693).
Springer DOI 0509
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Austvoll, I.[Ivar], Kwolek, B.[Bogdan],
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Springer DOI 1009
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Rymut, B.[Boguslaw], Kwolek, B.[Bogdan], Krzeszowski, T.[Tomasz],
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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,
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Kwolek, B.[Bogdan],
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Yan, J.C.[Jun-Chi], Li, Y.[Yin], Zheng, E.L.[En-Liang], Liu, Y.C.[Yun-Cai],
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Springer DOI 0909
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Geometric Layout Based Graphical Model for Multi-Part Object Tracking,
VS08(xx-yy). 0810
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Probabilistic Color and Adaptive Multi-Feature Tracking with Dynamically Switched Priority Between Cues,
ICCV07(1-8).
IEEE DOI 0710
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FGR06(609-616).
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Hiromoto, M.[Masayuki], Miyamoto, R.[Ryusuke],
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Ashida, J., Miyamoto, R., Tsutsui, H., Onoye, T., Nakamura, Y.,
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Balan, A.O.[Alexandru O.], Black, M.J.[Michael J.],
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CVPR06(I: 758-765).
IEEE DOI 0606
BibRef

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
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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
BibRef
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
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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).
IEEE DOI 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 DOI 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

di Franco, D.E.[David E.], Cham, T.J.[Tat-Jen], Rehg, J.M.[James M.],
Reconstruction of 3D Figure Motion from 2D Correspondences,
CVPR01(I:307-314).
IEEE DOI 0110
Interactive system to recover 3-D motion for a human model. BibRef

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Method for detecting human body motion in frames of a video sequence,
US_Patent5,930,379, Jul 27, 1999
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And: A2, A1:
Analyzing Articulated Motion Using Expectation-Maximization,
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
BibRef

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
BibRef

Pan, C.H.[Chun-Hong], Ma, S.D.[Song-De],
Parametric tracking of human contour by exploiting intelligent edge,
AFGR04(663-668).
IEEE DOI 0411
BibRef

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
BibRef

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).
IEEE DOI Use robot dynamics to guide result. BibRef 9900

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
BibRef

Jojic, N.[Nebojsa], Turk, M.A.[Matthew A.],
System and method for visually tracking occluded objects in real time,
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 -- Human Motion, Surveillance, Tracking, Surveillance, Activities continues in
Tracking Animals, Animal Gait, Animal Behaviors .


Last update:Mar 16, 2024 at 20:36:19