16.7.4.5 Walking, Gait Recognition, Gait Analysis

Murray, M.P.,
Gait as a Total Pattern of Movement,
Am. J. Physical Medicine(46), No. 1, 1967, pp. 290-329. BibRef 6700

Hogg, D.C.,
Model-Based Vision: A Program to See a Walking Person,
IVC(1), No. 1, February 1983, pp. 5-20.
WWW Version. Track human motion. BibRef 8302

Proffitt, D.R., and Bertenthal, B.I.,
Recovering Connectivity from Moving Point-Light Displays,
MU88(297-328). BibRef 8800
Earlier:
Converging Approaches to Extracting Structure from Motion: Psychophysical and Computational Investigations of Recovering Connectivity from Moving Point-Light Displays,
CAIA84(232-238). What is the minimal stimulus for perception of form (human based). BibRef

Rashid, R.F.,
Toward a System for the Interpretation of Moving Light Display,
PAMI(2), No. 6, November 1980, pp. 574-581. Tracking. BibRef 8011
And:
Lights: A System for the Interpretation of Moving Light Displays,
Ph.D.Thesis (CS), Univ. of Rochester, 1980. BibRef
Earlier:
Lights: A Study in Motion,
DARPAN79(57-68). Moving Light Displays. The standard moving light analysis system. BibRef

Chen, Z., Lee, H.J.,
Knowledge-Guided Visual Perception of 3-D Human Gait from a Single Image Sequence,
SMC(22), 1992, pp. 336-342. BibRef 9200
Earlier: A2, A1:
Optimal Search Procedures for 3D Human Movement Determination,
CAIA84(389-394). BibRef

Gu, H.S., Shirai, Y., Asada, M.,
MDL-Based Segmentation and Motion Modeling in a Long Image Sequence of Scene with Multiple Independently Moving-Objects,
PAMI(18), No. 1, January 1996, pp. 58-64.
IEEE Abstract.
IEEE DOI Link BibRef 9601
Earlier:
MDL-Based Spatiotemporal Segmentation from Motion in a Long Image Sequence,
CVPR94(448-453).
IEEE Abstract. Walking Motion. BibRef

Gu, H.S.,
MDL-Based Segmentation and Motion Modeling in Scenes with Multiple Independently Moving Objects,
Ph.D.1994, BibRef 9400 Osaka Univ. BibRef

Chen, H.J., Shirai, Y.,
Detecting Multiple Image Motions by Exploiting Temporal Coherence of Apparent Motion over a Long Image Sequence,
CVPR94(899-902).
IEEE Abstract. Walking Motion. BibRef 9400

Hayfron-Acquah, J.B.[James B.], Nixon, M.S.[Mark S.], Carter, J.N.[John N.],
Automatic Gait Recognition by Symmetry Analysis,
PRL(24), No. 13, September 2003, pp. 2175-2183.
WWW Version. 0307
BibRef
Earlier: AVBPA01(272).
HTML Version. 0310
BibRef
Earlier:
Human identification by spatio-temporal symmetry,
ICPR02(I: 632-635).
IEEE DOI Link 0211
BibRef
Earlier:
Recognising Human and Animal Movement by Symmetry,
ICIP01(III: 290-293).
IEEE Abstract. 0108
BibRef

Arbab-Zavar, B.[Banafshe], Bouchrika, I.[Imed], Carter, J.N.[John N.], Nixon, M.S.[Mark S.],
On Supervised Human Activity Analysis for Structured Environments,
ISVC10(III: 625-634).
Springer DOI Link 1011
BibRef

Bouchrika, I., Goffredo, M.[Michela], Carter, J.N.[John N.], Nixon, M.S.[Mark S.],
Covariate Analysis for View-Point Independent Gait Recognition,
ICB09(990-999).
Springer DOI Link 0906
BibRef

Goffredo, M.[Michela], Carter, J.N.[John N.], Nixon, M.S.[Mark S.],
Front-view Gait Recognition,
BTAS08(1-6).
IEEE DOI Link 0809
BibRef

Seely, R.D.[Richard D.], Samangooei, S.[Sina], Middleton, L.[Lee], Carter, J.N.[John N.], Nixon, M.S.[Mark S.],
The University of Southampton Multi-Biometric Tunnel and introducing a novel 3D gait dataset,
BTAS08(1-6).
IEEE DOI Link 0809
Dataset, Gait Recognition. BibRef

Goffredo, M.[Michela], Seely, R.D.[Richard D.], Carter, J.N.[John N.], Nixon, M.S.[Mark S.],
Markerless view independent gait analysis with self-camera calibration,
FG08(1-6).
IEEE DOI Link 0809
BibRef

Sharman, K.J., Nixon, M.S.[Mark S.], Carter, J.N.[John N.],
Extraction and description of 3D (articulated) moving objects,
3DPVT02(664-667).
IEEE DOI Link 0206
BibRef

Cunado, D., Nash, J.M., Nixon, M.S., Carter, J.N.,
Gait Extraction and Description by Evidence-Gathering,
AVBPA99(xx-yy). BibRef 9900

Nash, J.M., Carter, J.N., Nixon, M.S.,
Extraction of Moving Articulated-objects by Evidence Gathering,
BMVC98(xx-yy). BibRef 9800

Foster, J.P.[Jeff P.], Nixon, M.S.[Mark S.], Prügel-Bennett, A.[Adam],
Automatic gait recognition using area-based metrics,
PRL(24), No. 14, October 2003, pp. 2489-2497.
WWW Version. 0307
BibRef
Earlier:
New Area Based Metrics for Automatic Gait Recognition,
BMVC01(Poster Session 1).
HTML Version. University of Southampton 0110
BibRef
And:
New Area Based Metrics for Gait Recognition,
AVBPA01(312).
HTML Version. 0310
BibRef

Yoo, J.H.[Jang-Hee], Nixon, M.S., Harris, C.J.,
Model-driven statistical analysis of human gait motion,
ICIP02(I: 285-288).
IEEE Abstract. 0210
BibRef
And:
Extracting human gait signatures by body segment properties,
Southwest02(35-39).
IEEE Top Reference. 0208
BibRef

Mowbray, S.D.[Stuart D.], Nixon, M.S.[Mark S.],
Extraction and recognition of periodically deforming objects by continuous, spatio-temporal shape description,
CVPR04(II: 895-901).
IEEE Abstract. 0408
BibRef
Earlier:
Automatic Gait Recognition via Fourier Descriptors of Deformable Objects,
AVBPA03(566-573).
HTML Version. 0310
BibRef

Spencer, N.M., Carter, J.N.,
Towards Pose Invariant Gait Reconstruction,
ICIP05(III: 261-264).
IEEE DOI Link 0512
BibRef

Guo, B.F.[Bao-Feng], Nixon, M.S.,
Gait Feature Subset Selection by Mutual Information,
SMC-A(39), No. 1, January 2009, pp. 36-46.
IEEE DOI Link 0901
BibRef
Earlier: BTAS07(1-6).
IEEE DOI Link 0709
BibRef

Nixon, M.S., Carter, J.N.,
Advances in automatic gait recognition,
AFGR04(139-144).
IEEE Abstract. 0411
BibRef

Bouchrika, I.[Imed], Nixon, M.S.[Mark S.],
Exploratory factor analysis of gait recognition,
FG08(1-6).
IEEE DOI Link 0809
BibRef
And:
Gait recognition by dynamic cues,
ICPR08(1-4).
IEEE DOI Link 0812
BibRef
Earlier:
Model-Based Feature Extraction for Gait Analysis and Recognition,
MIRAGE07(150-160).
Springer DOI Link 0703
BibRef

Wagg, D.K., Nixon, M.S.,
On automated model-based extraction and analysis of gait,
AFGR04(11-16).
IEEE Abstract. 0411
BibRef

Al-Huseiny, M.S.[Muayed S.], Mahmoodi, S.[Sasan], Nixon, M.S.[Mark S.],
Robust Rigid Shape Registration Method Using a Level Set Formulation,
ISVC10(II: 252-261).
Springer DOI Link 1011
BibRef
And:
Gait Learning-Based Regenerative Model: A Level Set Approach,
ICPR10(2644-2647).
IEEE DOI Link 1008
BibRef
Earlier:
Level Set Gait Analysis for Synthesis and Reconstruction,
ISVC09(II: 377-386).
Springer DOI Link 0911
BibRef

Yeasin, M.[Mohammed], Chaudhuri, S.[Subhasis],
Development of an Automated Image Processing System for Kinematic Analysis of Human Gait,
RealTimeImg(6), No. 1, February 2000, pp. 55-67. 0003
See also Visual understanding of dynamic hand gestures. BibRef

Chang, C.C., Tsai, W.H.,
Vision-Based Tracking and Interpretation of Human Leg Movement for Virtual Reality Applications,
CirSysVideo(11), No. 1, January 2001, pp. 9-24.
IEEE Top Reference. 0101
BibRef

Giese, M.A.[Martin A.],
Dynamic Neural Field Theory for Motion Perception,
KluwerOctober 1998, ISBN 0-7923-8300-1.
WWW Version. BibRef 9810

Giese, M.A.[Martin A.], Poggio, T.[Tomaso],
Morphable Models for the Analysis and Synthesis of Complex Motion Patterns,
IJCV(38), No. 1, June 2000, pp. 59-73.
WWW Version. 0006
BibRef
Earlier:
Quantification and Classification of Locomotion Patterns by Spatio-Temporal Morphable Models,
VS00(xx-yy). 0102
BibRef

Haritaoglu, I.[Ismail], Cutler, R.[Ross], Harwood, D.[David], Davis, L.S.[Larry S.],
Backpack: Detection of People Carrying Objects Using Silhouettes,
CVIU(81), No. 3, March 2001, pp. 385-397.
WWW Version. 0001
BibRef
Earlier: ICCV99(102-107).
IEEE DOI Link See also Robust Real-Time Periodic Motion Detection, Analysis, and Applications. BibRef

Dockstader, S.L., Berg, M.J., Tekalp, A.M.,
Stochastic kinematic modeling and feature extraction for gait analysis,
IP(12), No. 8, August 2003, pp. 962-976.
IEEE DOI Link 0308
See also On the Tracking of Articulated and Occluded Video Object Motion. BibRef

Dockstader, S.L., Imennov, N.S., Berg, M.J., Tekalp, A.M.,
Fault-tolerant tracking for gait analysis,
ICIP03(II: 89-92).
IEEE Abstract. 0312
BibRef

Dockstader, S.L.[Shiloh L.], Imennov, N.S.,
Prediction for Human Motion Tracking Failures,
IP(15), No. 2, February 2006, pp. 411-421.
IEEE DOI Link 0602
BibRef

Dockstader, S.L., Imennov, N.S., Tekalp, A.M.,
Markov-based failure prediction for human motion analysis,
ICCV03(1283-1288).
IEEE DOI Link 0311
BibRef

Dockstader, S.I., Bergkessel, K.A., Tekalp, A.M.,
Feature extraction for the analysis of gait and human motion,
ICPR02(I: 5-8).
IEEE DOI Link 0211
BibRef

Robledo Vega, I.[Isidro], Sarkar, S.[Sudeep],
Statistical motion model based on the change of feature relationships: Human gait-based recognition,
PAMI(25), No. 10, October 2003, pp. 1323-1328.
IEEE Abstract. 0310
BibRef
Earlier:
Experiments on gait analysis by exploiting nonstationarity in the distribution of feature relationships,
ICPR02(I: 1-4).
IEEE DOI Link 0211
BibRef
Earlier: A2, A1:
Discrimination of Motion Based on Traces in the Space of Probability Functions over Feature Relations,
CVPR01(I:976-983).
IEEE Abstract. 0110
Walking motion recognition from change in relational statistics of features. BibRef

Bregler, C.[Christoph], Malik, J.[Jitendra], Pullen, K.[Katherine],
Twist Based Acquisition and Tracking of Animal and Human Kinematics,
IJCV(56), No. 3, February-March 2004, pp. 179-194.
WWW Version. 0402
Use exponential maps and twist motions with differential motion results in linear system for articulated motions. Recognize gaits. BibRef

Bregler, C.[Christoph], Malik, J.[Jitendra],
Tracking People with Twists and Exponential Maps,
CVPR98(8-15).
IEEE Abstract. Or:
PDF Version. Award, Longuet-Higgins. (after 10 years) BibRef 9800

Bregler, C.,
Learning and Recognizing Human Dynamics in Video Sequences,
CVPR97(568-574).
IEEE Abstract.
IEEE DOI Link Or:
PDF Version. and
HTML Version. 9704
BibRef

Sappa, A.D.[Angel D.], Aifanti, N.[Niki], Malassiotis, S.[Sotiris], Strintzis, M.G.[Michael G.],
Prior Knowledge Based Motion Model Representation,
ELCVIA(5), No. 3, 2005, pp. 55-67.
WWW Version. 0505
BibRef
Earlier:
Monocular 3D human body reconstruction towards depth augmentation of television sequences,
ICIP03(III: 325-328).
IEEE Abstract. 0312
BibRef
Earlier:
3D Human Walking Modeling,
AMDO04(111-122).
WWW Version. 0505
BibRef
And:
3D gait estimation from monoscopic video,
ICIP04(III: 1963-1966).
IEEE DOI Link 0505
BibRef
Earlier:
Unsupervised motion classification by means of efficient feature selection and tracking,
3DPVT04(912-917).
IEEE Abstract. 0412
Human walking modeling from monocular sequences. Compute feature trajectories, find changes to get key frames. Feature point trajectories for determing walking and running. BibRef

Argyropoulos, S., Tzovaras, D., Ioannidis, D., Strintzis, M.G.,
Gait authentication using distributed source coding,
ICIP08(3108-3111).
IEEE DOI Link 0810
BibRef

Moustakas, K.[Konstantinos], Tzovaras, D.[Dimitrios], Stavropoulos, G.,
Gait Recognition Using Geometric Features and Soft Biometrics,
SPLetters(17), No. 4, April 2010, pp. 367-370.
IEEE DOI Link 1003
BibRef

Ioannidis, D.[Dimosthenis], Tzovaras, D.[Dimitrios], Moustakas, K.[Konstantinos],
Gait Identification using the 3D Protrusion Transform,
ICIP07(I: 349-352).
IEEE DOI Link 0709
BibRef

Gonzàlez, J.[Jordi], Varona, J.[Javier], Roca, F.X.[F. Xavier], Villanueva, J.J.[Juan J.],
A Comparison Framework for Walking Performances using aSpaces,
ELCVIA(5), No. 3, 2005, pp. 105-116.
WWW Version. 0506
BibRef
Earlier:
Analysis of Human Walking Based on aSpaces,
AMDO04(177-188).
WWW Version. 0505
BibRef
Earlier: A2, A1, A3, A4:
iTrack: Image-based Probabilistic Tracking of People,
ICPR00(Vol III: 1110-1113).
IEEE DOI Link 0009
BibRef

Fernandez, C.[Carles], Baiget, P.[Pau], Roca, F.X.[F. Xavier], Gonzalez, J.[Jordi],
Augmenting video surveillance footage with virtual agents for incremental event evaluation,
PRL(32), No. 6, 15 April 2011, pp. 878-889.
Elsevier DOI Link
WWW Version. 1103
Human behavior analysis; Smart video surveillance; Benchmarking; Ontologies BibRef

Baiget, P.[Pau], Roca, F.X.[F. Xavier], Gonzàlez, J.[Jordi],
Autonomous Virtual Agents for Performance Evaluation of Tracking Algorithms,
AMDO08(xx-yy).
Springer DOI Link 0807
BibRef

Mazzaro, M.C.[Maria Cecilla], Sznaier, M.[Mario], Camps, O.I.[Octavia I.],
A Model (In)Validation Approach to Gait Classification,
PAMI(27), No. 11, November 2005, pp. 1820-1825.
IEEE DOI Link 0510
Nominal model with noise and uncertainity. BibRef

Mazzaro, C., Sznaier, M., Camps, O.I., Soatto, S., Bissacco, A.,
A model (In)validation approach to gait recognition,
3DPVT02(700-703). 0206
BibRef

Grahn, J., Kjellstrom, H.,
Using SVM for Efficient Detection of Human Motion,
PETS05(231-238).
IEEE DOI Link 0602
BibRef

Havasi, L.[László], Szlávik, Z.[Zoltán], Szirányi, T.[Tamás],
Higher order symmetry for non-linear classification of human walk detection,
PRL(27), No. 7, May 2006, pp. 822-829.
WWW Version. 0604
BibRef
Earlier:
Eigenwalks: Walk Detection and Biometrics from Symmetry Patterns,
ICIP05(III: 289-292).
IEEE DOI Link 0512
Simplified symmetry; Pedestrian detection; Tracking; Surveillance; Kernel Fisher discriminant analysis; Gait analysis BibRef

Havasi, L.[László], Szlávik, Z.[Zoltán], Szirányi, T.[Tamás],
Detection of Gait Characteristics for Scene Registration in Video Surveillance System,
IP(16), No. 2, February 2007, pp. 503-510.
IEEE DOI Link 0702
BibRef

Xu, D., Yan, S., Tao, D., Zhang, L., Li, X., Zhang, H.J.,
Human Gait Recognition With Matrix Representation,
CirSysVideo(16), No. 7, July 2006, pp. 896-903.
IEEE DOI Link 0608
BibRef

Xu, D., Yan, S.C.[Shui-Cheng], Tao, D.C.[Da-Cheng], Lin, S., Zhang, H.J.,
Marginal Fisher Analysis and Its Variants for Human Gait Recognition and Content-Based Image Retrieval,
IP(16), No. 11, November 2007, pp. 2811-2821.
IEEE DOI Link 0709
See also Face Recognition: A Generalized Marginal Fisher Analysis Approach. BibRef

Zhou, Z.H.[Zi-Heng], Prugel-Bennett, A.[Adam], Damper, R.I.[Robert I.],
A Bayesian Framework for Extracting Human Gait Using Strong Prior Knowledge,
PAMI(28), No. 11, November 2006, pp. 1738-1752.
IEEE DOI Link 0609
BibRef
Earlier: A1, A3, A2:
Model Selection Within a Bayesian Approach to Extraction of Walker Motion,
Biometrics06(44).
IEEE DOI Link 0609
Prior from single model of walker. Learning adapts to variations. BibRef

Boulgouris, N.V.[Nikolaos V.], Plataniotis, K.N.[Konstantinos N.], Hatzinakos, D.[Dimitrios],
Gait recognition using linear time normalization,
PR(39), No. 5, May 2006, pp. 969-979.
WWW Version. 0604
BibRef
Earlier:
An angular transform of gait sequences for gait assisted recognition,
ICIP04(II: 857-860).
IEEE DOI Link 0505
Angular analysis; Time normalization; Recognition; Verification BibRef

Lu, H.P.[Hai-Ping], Plataniotis, K.N., Venetsanopoulos, A.N.,
Boosting Discriminant Learners for Gait Recognition Using MPCA Features,
JIVP(2009), No. 2009, pp. xx-yy.
WWW Version. 0911
BibRef
Earlier:
A Layered Deformable Model for Gait Analysis,
FGR06(249-256).
IEEE DOI Link 0604
BibRef
And:
Multilinear Principal Component Analysis of Tensor Objects for Recognition,
ICPR06(II: 776-779).
IEEE DOI Link 0609
BibRef

Boulgouris, N.V.[Nikolaos V.], Chi, Z.X.,
Gait Recognition Using Radon Transform and Linear Discriminant Analysis,
IP(16), No. 3, March 2007, pp. 731-740.
IEEE DOI Link 0703
BibRef
Earlier:
Gait Representation and Recognition Based on Radon Transform,
ICIP06(2665-2668).
IEEE DOI Link 0610
BibRef

Boulgouris, N.V.[Nikolaos V.], Chi, Z.W.X.[Zhi-Wei X.],
Human gait recognition based on matching of body components,
PR(40), No. 6, June 2007, pp. 1763-1770.
WWW Version. 0704
BibRef
And:
Gait Recognition Based on Human Body Components,
ICIP07(I: 353-356).
IEEE DOI Link 0709
Human gait; Recognition; Verification BibRef

Huang, X.[Xiaxi], Boulgouris, N.V.[Nikolaos V.],
Gait recognition using Linear Discriminant Analysis with artificial walking conditions,
ICIP10(2461-2464).
IEEE DOI Link 1009
BibRef

Elgammal, A.M.[Ahmed M.], Lee, C.S.[Chan-Su],
Nonlinear Manifold Learning for Dynamic Shape and Dynamic Appearance,
CVIU(106), No. 1, April 2007, pp. 31-46.
WWW Version. 0704
BibRef
And: A2, A1:
Homeomorphic Manifold Analysis: Learning Decomposable Generative Models for Human Motion Analysis,
WDV06(100-114).
Springer DOI Link 0705
Appearance-based vision; Manifold learning; Motion analysis; Shape analysis; Human motion analysis; Gait analysis See also Nonlinear Shape and Appearance Models for Facial Expression Analysis and Synthesis. BibRef

Lee, C.S.[Chan-Su], Elgammal, A.M.[Ahmed M.],
Coupled Visual and Kinematic Manifold Models for Tracking,
IJCV(87), No. 1-2, March 2010, pp. xx-yy.
Springer DOI Link 1001
BibRef
Earlier:
Style Adaptive Bayesian Tracking Using Explicit Manifold Learning,
BMVC05(xx-yy).
HTML Version. 0509
Contour tracking for human motion. BibRef

Awasthi, I.[Ishan], Elgammal, A.M.[Ahmed M.],
Learning Nonlinear Manifolds of Dynamic Textures,
VISAPP06(395-405).
Springer DOI Link 0711
BibRef

Lee, C.S.[Chan-Su], Elgammal, A.M.[Ahmed M.],
Dynamic shape outlier detection for human locomotion,
CVIU(113), No. 3, March 2009, pp. 332-344.
Elsevier DOI Link
WWW Version. 0902
BibRef
Earlier:
Modeling View and Posture Manifolds for Tracking,
ICCV07(1-8).
IEEE DOI Link 0710
BibRef
Earlier:
Simultaneous Inference of View and Body Pose using Torus Manifolds,
ICPR06(III: 489-494).
IEEE DOI Link 0609
Activity recognition; Dynamic shape models; Surveillance system; Generative models; Outlier detection; Biometrics; Human motion tracking BibRef

Elgammal, A.M.[Ahmed M.], Lee, C.S.[Chan-Su],
Tracking People on a Torus,
PAMI(31), No. 3, March 2009, pp. 520-538.
IEEE DOI Link 0902
BibRef
And:
The Role of Manifold Learning in Human Motion Analysis,
HumMotBook08(2). 0802
BibRef
Earlier:
Separating style and content on a nonlinear manifold,
CVPR04(I: 478-485).
IEEE Abstract. 0408
BibRef
And:
Inferring 3D body pose from silhouettes using activity manifold learning,
CVPR04(II: 681-688).
IEEE Abstract. 0408
Configuration is content, appearance is style. Learning on visual and kinematic manifolds. BibRef

Lee, C.S.[Chan-Su], Elgammal, A.M.[Ahmed M.],
Carrying Object Detection Using Pose Preserving Dynamic Shape Models,
AMDO06(315-325).
Springer DOI Link 0607
BibRef
Earlier:
Gait Tracking and Recognition Using Person-Dependent Dynamic Shape Model,
FGR06(553-559).
IEEE DOI Link 0604
BibRef
Earlier:
Towards Scalable View-Invariant Gait Recognition: Multilinear Analysis for Gait,
AVBPA05(395).
Springer DOI Link 0509
BibRef
Earlier:
Gait Style and Gait Content: Bilinear Models for Gait Recognition Using Gait Re-Sampling,
AFGR04(147-152).
IEEE Abstract. 0411
BibRef

Lam, T.H.W.[Toby H.W.], Lee, R.S.T.[Raymond S.T.], Zhang, D.[David],
Human gait recognition by the fusion of motion and static spatio-temporal templates,
PR(40), No. 9, September 2007, pp. 2563-2573.
WWW Version. 0705
Gait recognition; Motion silhouette contour templates; Static silhouette templates; Biometrics BibRef

Lam, T.H.W.[Toby H.W.], Lee, R.S.T.[Raymond S.T.],
A New Representation for Human Gait Recognition: Motion Silhouettes Image (MSI),
ICB06(612-618).
Springer DOI Link 0601
BibRef
And:
Human Identification by Using the Motion and Static Characteristic of Gait,
ICPR06(III: 996-999).
IEEE DOI Link 0609
BibRef

Tao, D.C.[Da-Cheng], Li, X.L.[Xue-Long], Wu, X.D.[Xin-Dong], Maybank, S.J.[Stephen J.],
General Tensor Discriminant Analysis and Gabor Features for Gait Recognition,
PAMI(29), No. 10, October 2007, pp. 1700-1715.
IEEE DOI Link
PDF Version. 0710
BibRef
Earlier: A1, A2, A4, A3:
Human Carrying Status in Visual Surveillance,
CVPR06(II: 1670-1677).
IEEE DOI Link
PDF Version. 0606
Gabor gait representation. BibRef

Bissacco, A.[Alessandro], Chiuso, A.[Alessandro], Soatto, S.[Stefano],
Classification and Recognition of Dynamical Models: The Role of Phase, Independent Components, Kernels and Optimal Transport,
PAMI(29), No. 11, November 2007, pp. 1958-1972.
IEEE DOI Link 0711
Extend classification to handle periodic modes. BibRef

Bissacco, A.[Alessandro], Soatto, S.[Stefano],
Hybrid Dynamical Models of Human Motion for the Recognition of Human Gaits,
IJCV(85), No. 1, October 2009, pp. xx-yy.
Springer DOI Link 0907
BibRef
Earlier:
On the Blind Classification of Time Series,
CVPR07(1-7).
IEEE DOI Link 0706
BibRef
Earlier:
Classifying Human Dynamics Without Contact Forces,
CVPR06(II: 1678-1685).
IEEE DOI Link 0606
Blind: input is not really known. Classify gait. BibRef

Bissacco, A., Chiuso, A., Ma, Y., Soatto, S.,
Recognition of Human Gaits,
CVPR01(II:52-57).
IEEE Abstract.
Postscript Version. 0110
BibRef

Bissacco, A.[Alessandro],
Modeling and Learning Contact Dynamics in Human Motion,
CVPR05(I: 421-428).
IEEE DOI Link 0507
BibRef

Bissacco, A.[Alessandro], Yang, M.H.[Ming-Hsuan], Soatto, S.[Stefano],
Fast Human Pose Estimation using Appearance and Motion via Multi-Dimensional Boosting Regression,
CVPR07(1-8).
IEEE DOI Link 0706
BibRef

Cheng, M.H.[Ming-Hsu], Ho, M.F.[Meng-Fen], Huang, C.L.[Chung-Lin],
Gait Analysis For Human Identification Through Manifold Learning and HMM,
PR(41), No. 8, August 2008, pp. 2541-2553.
WWW Version. 0805
BibRef
Earlier: Motion07(11-11).
IEEE DOI Link 0702
Nonlinear dimension reduction (NLDR); Gaussian process latent variable model (GP-LVM); Manifold learning; Hidden Markov model (HMM) BibRef

Chan, K.L.,
Video-based Gait Analysis By Silhouette Chamfer Distance And Kalman Filter,
IJIG(8), No. 3, July 2008, pp. 383-418. 0807
BibRef

Lee, H.S.[Hee-Sung], Hong, S.J.[Sung-Jun], Kim, E.T.[Eun-Tai],
An efficient gait recognition based on a selective neural network ensemble,
IJIST(18), No. 4, 2008, pp. 237-241.
WWW Version. 0810
BibRef

Bauckhage, C.[Christian], Tsotsos, J.K.[John K.], Bunn, F.E.[Frank E.],
Automatic detection of abnormal gait,
IVC(27), No. 1-2, January 2009, pp. 108-115.
WWW Version. 0811
BibRef
Earlier:
Detecting Abnormal Gait,
CRV05(282-288).
IEEE DOI Link 0505
Gait analysis; Shape encoding; Vector space embedding; SVM classification BibRef

Chen, C., Liang, J., Zhao, H., Hu, H., Tian, J.,
Factorial HMM and Parallel HMM for Gait Recognition,
SMC-C(38), No. 1, January 2008, pp. 114-123.
IEEE DOI Link 0901
BibRef

Qu, X., Nussbaum, M.A.,
Simulating Human Lifting Motions Using Fuzzy-Logic Control,
SMC-A(39), No. 1, January 2009, pp. 109-118.
IEEE DOI Link 0901
BibRef

Jaeggli, T.[Tobias], Koller-Meier, E.[Esther], Van Gool, L.J.[Luc J.],
Learning Generative Models for Multi-Activity Body Pose Estimation,
IJCV(83), No. 2, June 2009, pp. xx-yy.
Springer DOI Link 0903
BibRef
Earlier:
Learning Generative Models for Monocular Body Pose Estimation,
ACCV07(I: 608-617).
Springer DOI Link 0711
BibRef
And:
Multi-activity Tracking in LLE Body Pose Space,
HUMO07(42-57).
Springer DOI Link 0710
BibRef
Earlier:
Monocular Tracking with a Mixture of View-Dependent Learned Models,
AMDO06(494-503).
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BibRef

Jaeggli, T.[Tobias], Caenen, G.[Geert], Fransens, R.[Rik], Van Gool, L.J.[Luc J.],
Analysis of Human Locomotion based on Partial Measurements,
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Barnich, O.[Olivier], Van Droogenbroeck, M.[Marc],
Frontal-view gait recognition by intra- and inter-frame rectangle size distribution,
PRL(30), No. 10, 15 July 2009, pp. 893-901.
Elsevier DOI Link
WWW Version. 0906
Gait recognition; Mathematical morphology; Histogram; Motion detection; Shape analysis BibRef

Chen, C.H.[Chang-Hong], Liang, J.M.[Ji-Min], Zhao, H.[Heng], Hu, H.H.[Hai-Hong], Tian, J.[Jie],
Frame difference energy image for gait recognition with incomplete silhouettes,
PRL(30), No. 11, 1 August 2009, pp. 977-984,.
Elsevier DOI Link
WWW Version. 0909
Gait recognition; Incomplete silhouettes; Frame difference energy image; Hidden Markov model BibRef

Chen, C.H.[Chang-Hong], Liang, J.M.[Ji-Min], Hu, H.H.[Hai-Hong], Jiao, L.C.[Li-Cheng], Yang, X.[Xin],
Factorial Hidden Markov Models for Gait Recognition,
ICB07(124-133).
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BibRef

Chen, C.H.[Chang-Hong], Liang, J.M.[Ji-Min], Zhu, X.C.[Xiu-Chang],
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PR(44), No. 4, April 2011, pp. 988-995.
Elsevier DOI Link
WWW Version. 1101
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Earlier:
Logistic dynamic texture model for human activity and gait recognition,
ICIP10(2473-2476).
IEEE DOI Link 1009
Gait recognition; Improved dynamic Bayesian networks; Layered time series model; Logistic dynamic texture model; Hidden Markov model BibRef

Makihara, Y.S.[Yasu-Shi], Sagawa, R.[Ryusuke], Mukaigawa, Y.[Yasuhiro], Echigo, T.[Tomio], Yagi, Y.S.[Yasu-Shi],
Gait Identification Considering Body Tilt by Walking Direction Changes,
ELCVIA(8), No. 1, July 2009, pp. xx-yy.
WWW Version. 0909
BibRef
Earlier:
Adaptation to Walking Direction Changes for Gait Identification,
ICPR06(II: 96-99).
IEEE DOI Link 0609
BibRef
Earlier:
Which Reference View is Effective for Gait Identification Using a View Transformation Model?,
Biometrics06(45).
IEEE DOI Link 0609
BibRef
And:
Gait Recognition Using a View Transformation Model in the Frequency Domain,
ECCV06(III: 151-163).
Springer DOI Link 0608
BibRef

Sagawa, R.[Ryusuke], Makihara, Y.S.[Yasu-Shi], Echigo, T.[Tomio], Yagi, Y.S.[Yasu-Shi],
Matching Gait Image Sequences in the Frequency Domain for Tracking People at a Distance,
ACCV06(II:141-150).
Springer DOI Link 0601
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Akae, N.[Naoki], Makihara, Y.S.[Yasu-Shi], Yagi, Y.S.[Yasu-Shi],
The optimal camera arrangement by a performance model for gait recognition,
FG11(292-297).
IEEE DOI Link 1103
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Echigo, T.[Tomio], Maeda, J.[Junji], Nakano, H.[Hiroki],
Method for classifying an object in a moving picture,
US_Patent6,606,412, Aug 12, 2003
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Hossain, M.A.[M. Altab], Makihara, Y.S.[Yasu-Shi], Wang, J.Q.[Jun-Qiu], Yagi, Y.S.[Yasu-Shi],
Clothing-invariant gait identification using part-based clothing categorization and adaptive weight control,
PR(43), No. 6, June 2010, pp. 2281-2291.
Elsevier DOI Link
WWW Version. 1003
BibRef
Earlier:
Clothes-invariant gait identification using part-based adaptive weight control,
ICPR08(1-4).
IEEE DOI Link 0812
Gait identification; Clothing-invariant; Part-based; Adaptive weight control; Biometrics BibRef

Wang, J.Q.[Jun-Qiu], Yagi, Y.S.[Yasu-Shi], Makihara, Y.S.[Yasu-Shi],
People Tracking and Segmentation Using Efficient Shape Sequences Matching,
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Springer DOI Link 0909
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Tsuji, A.[Akira], Makihara, Y.S.[Yasu-Shi], Yagi, Y.S.[Yasu-Shi],
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IEEE DOI Link 1006
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Sugiura, K.[Kazushige], Makihara, Y.S.[Yasu-Shi], Yagi, Y.S.[Yasu-Shi],
Omnidirectional Gait Identification by Tilt Normalization and Azimuth View Transformation,
OMNIVIS08(xx-yy). 0810
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And:
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ACCV07(I: 452-461).
Springer DOI Link 0711
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Fihl, P.[Preben], Moeslund, T.B.[Thomas B.],
Invariant gait continuum based on the duty-factor,
SIViP(3), No. 4, December 2009, pp. xx-yy.
Springer DOI Link 0911
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Earlier:
Invariant Classification of Gait Types,
CRV08(179-185).
IEEE DOI Link 0805
BibRef
Earlier:
Classification of gait types based on the duty-factor,
AVSBS07(318-323).
IEEE DOI Link 0709
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Chen, C.Y.[Chang-You], Zhang, J.P.[Jun-Ping], Fleischer, R.[Rudolf],
Distance Approximating Dimension Reduction of Riemannian Manifolds,
SMC-B(40), No. 1, February 2010, pp. 208-217.
IEEE DOI Link 0911
BibRef
Earlier:
Multilinear Tensor-Based Non-parametric Dimension Reduction for Gait Recognition,
ICB09(1030-1039).
Springer DOI Link 0906
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Zhang, J.P.[Jun-Ping], Pu, J.[Jian], Chen, C.Y.[Chang-You], Fleischer, R.[Rudolf],
Low-Resolution Gait Recognition,
SMC-B(40), No. 4, August 2010, pp. 986-996.
IEEE DOI Link 1008
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Kim, D.H.[Dae-Hee], Paik, J.K.[Joon-Ki],
Gait recognition using active shape model and motion prediction,
IET-CV(4), No. 1, March 2010, pp. 25-36.
WWW Version. 1001
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Cho, W.[Woon], Kim, T.K.[Tae-Kyung], Paik, J.K.[Joon-Ki],
Gait Recognition Using Active Shape Models,
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Kim, D.H.[Dong-Hyeon], Kim, D.H.[Dae-Hee], Paik, J.K.[Joon-Ki],
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Maik, V., Paik, D.T., Lim, J., Park, K., Paik, J.,
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IET-CV(4), No. 1, March 2010, pp. 12-24.
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Ekinci, M.[Murat], Aykut, M.[Murat],
Improved gait recognition by multiple-projections normalization,
MVA(21), No. 2, February 2010, pp. xx-yy.
Springer DOI Link 1002
BibRef
Earlier: A1 Only:
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IEEE DOI Link 0604
Silhouette represented by 4 1-D features - difference between bounding box and silhouette. BibRef

Ekinci, M.[Murat], Gedikli, E.[Eyup],
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Trivino, G.[Gracian], Alvarez-Alvarez, A.[Alberto], Bailador, G.[Gonzalo],
Application of the computational theory of perceptions to human gait pattern recognition,
PR(43), No. 7, July 2010, pp. 2572-2581.
Elsevier DOI Link
WWW Version. 1003
Gait recognition; Fuzzy logic; Fuzzy finite state machine; Computational theory of perceptions; Authentication BibRef

Xue, Z.J.[Zhao-Jun], Ming, D.[Dong], Song, W.[Wei], Wan, B.K.[Bai-Kun], Jin, S.J.[Shi-Jiu],
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PR(43), No. 8, August 2010, pp. 2904-2910.
Elsevier DOI Link
WWW Version. 1006
Gait recognition; Infrared thermal imaging; Wavelet transform; Support vector machine; Feature extraction BibRef

Gu, J.X.[Jun-Xia], Ding, X.Q.[Xiao-Qing], Wang, S.J.[Sheng-Jin], Wu, Y.S.[You-Shou],
Action and Gait Recognition From Recovered 3-D Human Joints,
SMC-B(40), No. 4, August 2010, pp. 1021-1033.
IEEE DOI Link 1008
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Bashir, K.[Khalid], Xiang, T.[Tao], Gong, S.G.[Shao-Gang],
Gait recognition without subject cooperation,
PRL(31), No. 13, 1 October 2010, pp. 2052-2060.
Elsevier DOI Link
WWW Version. 1003
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And:
Cross-view Gait Recognition Using Correlation Strength,
BMVC10(xx-yy).
HTML Version. 1009
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Earlier:
Gait Representation Using Flow Fields,
BMVC09(xx-yy).
PDF Version. 0909
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Earlier:
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BMVC08(xx-yy).
PDF Version. 0809
Biometrics; Gait recognition; Gait Energy Image; Feature selection; Adaptive Component and Discriminant Analysis BibRef

Nizami, I.F.[Imran Fareed], Hong, S.J.[Sung-Jun], Lee, H.S.[Hee-Sung], Lee, B.[Byungyun], Kim, E.T.[Eun-Tai],
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Nassar, H.[Hamed], El-Taweel, G.[Ghada], Mahmoud, E.[Eman],
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Venkat, I.[Ibrahim], de Wilde, P.[Philippe],
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Liu, N.[Nini], Lu, J.W.[Ji-Wen], Tan, Y.P.[Yap-Peng],
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IEEE DOI Link 1101
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Liu, N.[Nini], Lu, J.W.[Ji-Wen], Tan, Y.P.[Yap-Peng], Chen, Z.Z.[Zhen-Zhong],
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Kellokumpu, V.P.[Vili-Petteri], Zhao, G.Y.[Guo-Ying], Pietikäinen, M.[Matti],
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MVA(22), No. 5, September 2011, pp. 767-780.
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Dynamic textures for human movement recognition,
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WWW Version. 1007
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Earlier:
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PDF Version. 0809
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Kellokumpu, V.P.[Vili-Petteri], Zhao, G.Y.[Guo-Ying], Li, S.Z.[Stan Z.], Pietikäinen, M.[Matti],
Dynamic Texture Based Gait Recognition,
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Zhao, G.Y.[Guo-Ying], Liu, G.Y.[Guo-Yi], Li, H.[Hua], Pietikainen, M.,
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Zhao, G.Y.[Guo-Ying], Cui, L.[Li], Li, H.[Hua], Pietikainen, M.[Matti],
Gait Recognition Using Fractal Scale and Wavelet Moments,
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Schepers, H.M.,
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Ph.D.Thesis, Universiteit Twente, June 2009.
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Klein Horstman, M.D.[Martijn D.],
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IET-CV(5), No. 6, 2011, pp. 380-388.
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Earlier:
Analysis of Time Domain Information for Footstep Recognition,
ISVC10(I: 489-498).
Springer DOI Link 1011
BibRef

Xu, D., Huang, Y., Zeng, Z., Xu, X.,
Human Gait Recognition Using Patch Distribution Feature and Locality-Constrained Group Sparse Representation,
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Hu, M.[Maodi], Wang, Y.H.[Yun-Hong], Zhang, Z.X.[Zhao-Xiang], Zhang, D.[De],
Multi-view multi-stance gait identification,
ICIP11(541-544).
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Ryu, J.[Jegoon], Kamata, S.I.[Sei-Ichiro],
Front view gait recognition using Spherical Space Model with Human Point Clouds,
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Lin, H.W.[Hung-Wei], Hu, M.C.[Min-Chun], Wu, J.L.[Ja-Ling],
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MMMod12(266-276).
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3D ellipsoid fitting for multi-view gait recognition,
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Harle, R.[Robert], Cameron, J.[Jonathan], Lasenby, J.[Joan],
Foot Contact Detection for Sprint Training,
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Jung, S.U.[Sung-Uk], Nixon, M.S.[Mark S.],
Detection Human Motion with Heel Strikes for Surveillance Analysis,
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Springer DOI Link 1109
BibRef

Zhang, Z.[Zheng], Seah, H.S.[Hock Soon],
Real-time tracking of unconstrained full-body motion using Niching Swarm Filtering combined with local optimization,
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Hu, R.Z.L.[Richard Zhi-Ling], Hartfiel, A.[Adam], Tung, J.[James], Fakih, A.[Adel], Hoey, J.[Jesse], Poupart, P.[Pascal],
3D Pose tracking of walker users' lower limb with a structured-light camera on a moving platform,
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Oskuie, F.B.[Farhad Bagher], Faez, K.[Karim],
Gender Classification Using a Novel Gait Template: Radon Transform of Mean Gait Energy Image,
ICIAR11(II: 161-169).
Springer DOI Link 1106
BibRef

Oskuie, F.B.[Farhad Bagher], Faez, K.[Karim], Cheraghian, A.[Ali], Dastmalchi, H.[Hamidreza],
Gait Identification Using a Novel Gait Representation: Radon Transform of Mean Gait Energy Image,
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Ishikawa, E.[Eri], Karungaru, S.[Stephen], Terada, K.[Kenji],
Gait features extraction method using image processing,
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Senst, T.[Tobias], Evangelio, R.H.[Ruben Heras], Sikora, T.[Thomas],
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Watanabe, Y.[Yoshihiro], Hatanaka, T.[Tetsuo], Komuro, T.[Takashi], Ishikawa, M.[Masatoshi],
Human gait estimation using a wearable camera,
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Huang, Y.[Yi], Xu, D.[Dong], Nie, F.P.[Fei-Ping],
Regularized Trace Ratio Discriminant Analysis with Patch Distribution Feature for human gait recognition,
ICIP10(2449-2452).
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Kotsia, I.[Irene], Patras, I.[Ioannis],
Relative Margin Support Tensor Machines for gait and action recognition,
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WWW Version. 1007
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Bouchrika, I., Carter, J.N., Nixon, M.S., Morzinger, R., Thallinger, G.,
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Aqmar, M.R.[Muhammad Rasyid], Shinoda, K.[Koichi], Furui, S.[Sadaoki],
Robust Gait Recognition Against Speed Variation,
ICPR10(2190-2193).
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Estimation System for Forces and Torques in a Biped Motion,
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Switonski, A.[Adam], Josinski, H.[Henryk], Jedrasiak, K.[Karol], Polanski, A.[Andrzej], Wojciechowski, K.[Konrad],
Classification of Poses and Movement Phases,
ICCVG10(I: 193-200).
Springer DOI Link 1009
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Wang, C.[Chen], Zhang, J.P.[Jun-Ping], Pu, J.[Jian], Yuan, X.R.[Xiao-Ru], Wang, L.[Liang],
Chrono-Gait Image: A Novel Temporal Template for Gait Recognition,
ECCV10(I: 257-270).
Springer DOI Link 1009
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Alcoverro, M.[Marcel], Lopez-Mendez, A.[Adolfo], Pardas, M.[Montse], Casas, J.R.[Josep R.],
Connected operators on 3D data for human body analysis,
HAU3D11(9-14).
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Canton-Ferrer, C., Casas, J.R., Pardas, M.,
Spatio-temporal alignment and hyperspherical radon transform for 3D gait recognition in multi-view environments,
Biometrics10(116-121).
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See also Human motion capture using scalable body models. BibRef

Olivier, A.H.[Anne-Hélène], Kulpa, R.[Richard], Pettré, J.[Julien], Crétual, A.[Armel],
A Velocity-Curvature Space Approach for Walking Motions Analysis,
MIG09(104-115).
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Zhang, Y.Y.[Yuan-Yuan], Yang, N.[Niqing], Li, W.[Wei], Wu, X.J.[Xiao-Juan], Ruan, Q.Q.[Qiu-Qi],
Gait Recognition Using Procrustes Shape Analysis and Shape Context,
ACCV09(III: 256-265).
Springer DOI Link 0909
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Zhang, X.[Xin], Fan, G.L.[Guo-Liang], Chou, L.S.[Li-Shan],
Two-layer generative models for estimating unknown gait kinematics,
MLMotion09(413-420).
IEEE DOI Link 0910
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Tahmoush, D., Silvious, J.,
Radar micro-doppler for long range front-view gait recognition,
BTAS09(1-6).
IEEE DOI Link 0909
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Ng, H.[Hu], Tan, W.H.[Wooi-Haw], Tong, H.L.[Hau-Lee], Abdullah, J.[Junaidi], Komiya, R.[Ryoichi],
Extraction and Classification of Human Gait Features,
IVIC09(596-606).
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Rustagi, L.[Luv], Kumar, L.[Lokendra], Pillai, G.N.,
Human Gait Recognition Based on Dynamic and Static Features Using Generalized Regression Neural Network,
ICMV09(64-68).
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Dadashi, F., Araabi, B.N., Soltanian-Zadeh, H.,
Gait Recognition Using Wavelet Packet Silhouette Representation and Transductive Support Vector Machines,
CISP09(1-5).
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Zheng, S.[Shuai], Zhang, J.[Junge], Huang, K.Q.[Kai-Qi], He, R.[Ran], Tan, T.N.[Tie-Niu],
Robust view transformation model for gait recognition,
ICIP11(2073-2076).
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Kusakunniran, W.[Worapan], Wu, Q.A.[Qi-Ang], Zhang, J.[Jian], Li, H.D.[Hong-Dong],
Speed-invariant gait recognition based on Procrustes Shape Analysis using higher-order shape configuration,
ICIP11(545-548).
IEEE DOI Link 1201
BibRef
Earlier:
Pairwise Shape configuration-based PSA for gait recognition under small viewing angle change,
AVSBS11(17-22).
IEEE DOI Link 1111
BibRef
Earlier:
Multi-view Gait Recognition Based on Motion Regression Using Multilayer Perceptron,
ICPR10(2186-2189).
IEEE DOI Link 1008
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And:
Support vector regression for multi-view gait recognition based on local motion feature selection,
CVPR10(974-981).
IEEE DOI Link 1006
BibRef
Earlier: A1, A2, A4, A3:
Multiple views gait recognition using View Transformation Model based on optimized Gait Energy Image,
THEMIS09(1058-1064).
IEEE DOI Link 0910
BibRef
Earlier:
Automatic Gait Recognition Using Weighted Binary Pattern on Video,
AVSBS09(49-54).
IEEE DOI Link 0909
BibRef

Lawson, W.[Wallace], Duric, Z.[Zoran],
Analyzing Human Gait Using Patterns of Translation and Rotation,
ICIAR09(408-417).
Springer DOI Link 0907
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Lawson, W.[Wallace], Duric, Z.[Zoran], Wechsler, H.[Harry],
Gait Analysis using Independent Components of image motion,
FG08(1-6).
IEEE DOI Link 0809
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Jensen, R.R.[Rasmus R.], Paulsen, R.R.[Rasmus R.], Larsen, R.[Rasmus],
Analysis of Gait Using a Treadmill and a Time-of-Flight Camera,
Dyn3D09(154-166).
Springer DOI Link 0909
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And:
Analyzing Gait Using a Time-of-Flight Camera,
SCIA09(21-30).
Springer DOI Link 0906
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Tanaka, H., Wu, X., Arai, H., Koike, H.,
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IVCNZ08(1-6).
IEEE DOI Link 0811
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Lee, T.K.M.[Tracey K. M.], Belkhatir, M., Lee, P.A., Sanei, S.,
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ICPR08(1-4).
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Wu, C.C.[Chun-Chih], Medina, J.[Jose], Zordan, V.B.[Victor B.],
Simple Steps for Simply Stepping,
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Lawson, W., Wechsler, H.,
Comparative Assessment of ICA Architectures for Gait Recognition,
BTAS07(1-5).
IEEE DOI Link 0709
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Romero-Moreno, M., Martínez-Trinidad, J.F.[J. Francisco], Carrasco-Ochoa, J.A.,
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CIARP08(527-534).
Springer DOI Link 0809
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Vondrak, M.[Marek], Sigal, L.[Leonid], Jenkins, O.C.[Odest Chadwicke],
Physical simulation for probabilistic motion tracking,
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Ding, T.[Tao],
A robust identification approach to gait recognition,
CVPR08(1-8).
IEEE DOI Link 0806
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Srivastava, S.[Shruti], Sural, S.[Shamik],
Human Gait Recognition Using Temporal Slices,
PReMI07(592-599).
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Memisoglu, A.[Aydemir], Gudukbay, U.[Ugur], Ozguc, B.[Bulent],
Motion Control for Realistic Walking Behavior using Inverse Kinematics,
3DTV07(1-4).
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Qu, H.Y.[Hui-Yang], Wong, H.S.[Hau San], Ma, B.[Bo],
Learning Graphical Model for Human Motion Characterization Using Genetic Optimization,
ICARCV06(1-6).
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Lee, S.K.[Seung-Kyu], Liu, Y.X.[Yan-Xi], Collins, R.T.[Robert T.],
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CVPR07(1-8).
IEEE DOI Link 0706
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Suk, H.I.[Heung-Il], Sin, B.K.[Bong-Kee],
HMM-Based Gait Recognition with Human Profiles,
SSPR06(596-603).
Springer DOI Link 0608
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Emoto, M., Hayashi, A., Suematsu, N., Iwata, K.,
View Independent Gait Identification Using a Particle Filter,
AVSBS06(74-74).
IEEE DOI Link 0611
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Ran, Y.[Yang], Chellappa, R.[Rama], Zheng, Q.F.[Qin-Fen],
Finding Gait in Space and Time,
ICPR06(IV: 586-589).
IEEE DOI Link 0609
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Chai, Y.M.[Yan-Mei], Wang, Q.[Qing], Jia, J.P.[Jing-Ping], Zhao, R.C.[Rong-Chun],
A Novel Gait Recognition Method Via Fusing Shape and Kinematics Features,
ISVC06(I: 80-89).
Springer DOI Link 0611
BibRef
Earlier:
A Novel Human Gait Recognition Method by Segmenting and Extracting the Region Variance Feature,
ICPR06(IV: 425-428).
IEEE DOI Link 0609
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Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Cyclic Motion, Periodic Motion, for Walking and Gait Recognition .