16.7.4.5 Walking, Gait Recognition, Gait Analysis

Chapter Contents (Back)
Walking. Gait Analysis. Gait Recognition. See also Gait Analysis, Depth, 3-D Data, 3-D from Gait. See also Gender Analysis using Gait.

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.[David C.],
Model-Based Vision: A Program to See a Walking Person,
IVC(1), No. 1, February 1983, pp. 5-20.
Elsevier DOI 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

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 DOI BibRef 9601
Earlier:
MDL-Based Spatiotemporal Segmentation from Motion in a Long Image Sequence,
CVPR94(448-453).
IEEE DOI 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 DOI Walking Motion. BibRef 9400

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 Link. 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.
DOI Link 0006
BibRef
Earlier:
Quantification and Classification of Locomotion Patterns by Spatio-Temporal Morphable Models,
VS00(xx-yy). 0102
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 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 DOI 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 0602
BibRef

Dockstader, S.L., Imennov, N.S., Tekalp, A.M.,
Markov-based failure prediction for human motion analysis,
ICCV03(1283-1288).
IEEE DOI 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 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 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 DOI 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.
DOI Link 0402
BibRef
Earlier: A1, A2, Only:
Tracking People with Twists and Exponential Maps,
CVPR98(8-15).
IEEE DOI Or:
PDF File. Award, Longuet-Higgins. (after 10 years) BibRef
Earlier: A1, Only:
Learning and Recognizing Human Dynamics in Video Sequences,
CVPR97(568-574).
IEEE DOI Or:
PDF File. and
HTML Version. 9704
Use exponential maps and twist motions with differential motion results in linear system for articulated motions. Recognize gaits. 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 1003
BibRef

Argyropoulos, S., Tzovaras, D., Ioannidis, D., Strintzis, M.G.,
Gait authentication using distributed source coding,
ICIP08(3108-3111).
IEEE DOI 0810
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 Link. 0506
BibRef
Earlier:
Analysis of Human Walking Based on aSpaces,
AMDO04(177-188).
Springer DOI 0505
BibRef
Earlier: A2, A1, A3, A4:
iTrack: Image-based Probabilistic Tracking of People,
ICPR00(Vol III: 1110-1113).
IEEE DOI 0009
BibRef

Fernandez, C.[Carles], Baiget, P.[Pau], Roca, F.X.[F. Xavier], Gonzàlez, 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 1103
BibRef
Earlier: A2, A3, A4, Only:
Autonomous Virtual Agents for Performance Evaluation of Tracking Algorithms,
AMDO08(xx-yy).
Springer DOI 0807
Human behavior analysis; Smart video surveillance; Benchmarking; Ontologies 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 0510
Nominal model with noise and uncertainity. BibRef

Mazzaro, M.C., Sznaier, M., Camps, O.I., Soatto, S., Bissacco, A.,
A model (In)validation approach to gait recognition,
3DPVT02(700-703). 0206
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 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 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 0609
BibRef
Earlier: A1, A3, A2:
Model Selection Within a Bayesian Approach to Extraction of Walker Motion,
Biometrics06(44).
IEEE DOI 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.
Elsevier DOI 0604
BibRef
Earlier:
An angular transform of gait sequences for gait assisted recognition,
ICIP04(II: 857-860).
IEEE DOI 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.
DOI Link 0911
BibRef
Earlier:
A Layered Deformable Model for Gait Analysis,
FGR06(249-256).
IEEE DOI 0604
BibRef
And:
Multilinear Principal Component Analysis of Tensor Objects for Recognition,
ICPR06(II: 776-779).
IEEE DOI 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 0703
BibRef
Earlier:
Gait Representation and Recognition Based on Radon Transform,
ICIP06(2665-2668).
IEEE DOI 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.
Elsevier DOI 0704
BibRef
And:
Gait Recognition Based on Human Body Components,
ICIP07(I: 353-356).
IEEE DOI 0709
Human gait; Recognition; Verification BibRef

Huang, X.X.[Xia-Xi], Boulgouris, N.V.[Nikolaos V.],
Gait Recognition With Shifted Energy Image and Structural Feature Extraction,
IP(21), No. 4, April 2012, pp. 2256-2268.
IEEE DOI 1204
BibRef
Earlier:
Gait recognition using Linear Discriminant Analysis with artificial walking conditions,
ICIP10(2461-2464).
IEEE DOI 1009
BibRef

Boulgouris, N.V., Huang, X.X.,
Gait Recognition Using HMMs and Dual Discriminative Observations for Sub-Dynamics Analysis,
IP(22), No. 9, 2013, pp. 3636-3647.
IEEE DOI 1309
Gait; biometrics; recognition; surveillance 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.
Elsevier DOI 0704
BibRef
And: A2, A1:
Homeomorphic Manifold Analysis: Learning Decomposable Generative Models for Human Motion Analysis,
WDV06(100-114).
Springer DOI 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 1001
BibRef

Lee, C.S.[Chan-Su], Elgammal, A.M.[Ahmed M.],
Style adaptive contour tracking of human gait using explicit manifold models,
MVA(23), No. 3, May 2012, pp. 461-478.
WWW Link. 1204
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 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 0902
BibRef
Earlier:
Modeling View and Posture Manifolds for Tracking,
ICCV07(1-8).
IEEE DOI 0710
BibRef
Earlier:
Simultaneous Inference of View and Body Pose using Torus Manifolds,
ICPR06(III: 489-494).
IEEE DOI 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 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 DOI 0408
BibRef
And:
Inferring 3D body pose from silhouettes using activity manifold learning,
CVPR04(II: 681-688).
IEEE DOI 0408
Configuration is content, appearance is style. Learning on visual and kinematic manifolds. BibRef

Elgammal, A.E.[Ahmed E.], Lee, C.S.[Chan-Su],
Homeomorphic Manifold Analysis (HMA): Generalized separation of style and content on manifolds,
IVC(31), No. 4, April 2013, pp. 291-310.
Elsevier DOI 1304
Style and content; Manifold embedding; Kernel methods; Human Motion Analysis; Gait analysis; Facial expression analysis 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 0607
BibRef
Earlier:
Gait Tracking and Recognition Using Person-Dependent Dynamic Shape Model,
FGR06(553-559).
IEEE DOI 0604
BibRef
Earlier:
Towards Scalable View-Invariant Gait Recognition: Multilinear Analysis for Gait,
AVBPA05(395).
Springer DOI 0509
BibRef
Earlier:
Gait Style and Gait Content: Bilinear Models for Gait Recognition Using Gait Re-Sampling,
AFGR04(147-152).
WWW Link. 0411
BibRef

Huang, S.[Sheng], Elhoseiny, M.[Mohamed], Elgammal, A.M.[Ahmed M.], Yang, D.[Dan],
Learning Hypergraph-regularized Attribute Predictors,
CVPR15(409-417)
IEEE DOI 1510
BibRef

Huang, S.[Sheng], Elgammal, A.M.[Ahmed M.], Yang, D.[Dan],
Learning Speed Invariant Gait Template via Thin Plate Spline Kernel Manifold Fitting,
BMVC13(xx-yy).
DOI Link 1402
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 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 0907
BibRef
Earlier:
On the Blind Classification of Time Series,
CVPR07(1-7).
IEEE DOI 0706
BibRef
Earlier:
Classifying Human Dynamics Without Contact Forces,
CVPR06(II: 1678-1685).
IEEE DOI 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 DOI
PS File. 0110
BibRef

Bissacco, A.[Alessandro],
Modeling and Learning Contact Dynamics in Human Motion,
CVPR05(I: 421-428).
IEEE DOI 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 0706
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
See also Detection of swimmer using dense optical flow motion map and intensity information. 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.
DOI Link 0810
BibRef

Hong, S.J.[Sung-Jun], Lee, H.S.[Hee-Sung], Kim, E.T.[Eun-Tai],
Probabilistic gait modelling and recognition,
IET-CV(7), No. 1, 2013, pp. 56-70.
DOI Link 1307
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 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 0903
BibRef
Earlier:
Learning Generative Models for Monocular Body Pose Estimation,
ACCV07(I: 608-617).
Springer DOI 0711
BibRef
And:
Multi-activity Tracking in LLE Body Pose Space,
HUMO07(42-57).
Springer DOI 0710
BibRef
Earlier:
Monocular Tracking with a Mixture of View-Dependent Learned Models,
AMDO06(494-503).
Springer DOI 0607
BibRef

Jaeggli, T.[Tobias], Caenen, G.[Geert], Fransens, R.[Rik], Van Gool, L.J.[Luc J.],
Analysis of Human Locomotion based on Partial Measurements,
Motion05(II: 248-253).
IEEE DOI 0502
BibRef

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 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 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).
Springer DOI 0708
BibRef

Chen, C.H.[Chang-Hong], Liang, J.M.[Ji-Min], Zhu, X.C.[Xiu-Chang],
Gait recognition based on improved dynamic Bayesian networks,
PR(44), No. 4, April 2011, pp. 988-995.
Elsevier DOI 1101
BibRef
Earlier:
Logistic dynamic texture model for human activity and gait recognition,
ICIP10(2473-2476).
IEEE DOI 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 Link. 0909
BibRef
Earlier:
Adaptation to Walking Direction Changes for Gait Identification,
ICPR06(II: 96-99).
IEEE DOI 0609
BibRef
Earlier:
Which Reference View is Effective for Gait Identification Using a View Transformation Model?,
Biometrics06(45).
IEEE DOI 0609
BibRef
And:
Gait Recognition Using a View Transformation Model in the Frequency Domain,
ECCV06(III: 151-163).
Springer DOI 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 0601
BibRef

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 1103
BibRef

Mansur, A.[Al], Makihara, Y.S.[Yasu-Shi], Aqmar, R.[Rasyid], Yagi, Y.S.[Yasu-Shi],
Gait Recognition under Speed Transition,
CVPR14(2521-2528)
IEEE DOI 1409
BibRef

Echigo, T.[Tomio], Maeda, J.J.[Jun-Ji], Nakano, H.[Hiroki],
Method for classifying an object in a moving picture,
US_Patent6,606,412, Aug 12, 2003
WWW Link. BibRef 0308

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 1003
BibRef
Earlier:
Clothes-invariant gait identification using part-based adaptive weight control,
ICPR08(1-4).
IEEE DOI 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,
ACCV09(II: 204-213).
Springer DOI 0909
BibRef
Earlier: A1, A3, A2:
People tracking and segmentation using spatiotemporal shape constraints,
VNBA08(31-38).
DOI Link 1208
Tracking and segmentation algorithm for gait recognition. BibRef

Tsuji, A.[Akira], Makihara, Y.S.[Yasu-Shi], Yagi, Y.S.[Yasu-Shi],
Silhouette transformation based on walking speed for gait identification,
CVPR10(717-722).
IEEE DOI 1006
BibRef

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
BibRef
And:
Gait Identification Based on Multi-view Observations Using Omnidirectional Camera,
ACCV07(I: 452-461).
Springer DOI 0711
BibRef

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 0911
BibRef
Earlier:
Invariant Classification of Gait Types,
CRV08(179-185).
IEEE DOI 0805
BibRef
Earlier:
Classification of gait types based on the duty-factor,
AVSBS07(318-323).
IEEE DOI 0709
BibRef

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.
DOI Link 1001
BibRef

Cho, W.[Woon], Kim, T.K.[Tae-Kyung], Paik, J.K.[Joon-Ki],
Gait Recognition Using Active Shape Models,
ACIVS07(384-394).
Springer DOI 0708
BibRef

Kim, D.H.[Dong-Hyeon], Kim, D.H.[Dae-Hee], Paik, J.K.[Joon-Ki],
Model-Based Gait Recognition Using Multiple Feature Detection,
ACIVS08(xx-yy).
Springer DOI 0810
BibRef

Maik, V., Paik, D.T., Lim, J., Park, K., Paik, J.,
Hierarchical pose classification based on human physiology for behaviour analysis,
IET-CV(4), No. 1, March 2010, pp. 12-24.
DOI Link 1001
BibRef

Ekinci, M.[Murat], Aykut, M.[Murat],
Improved gait recognition by multiple-projections normalization,
MVA(21), No. 2, February 2010, pp. xx-yy.
Springer DOI 1002
BibRef
Earlier: A1 Only:
Gait Recognition Using Multiple Projections,
FGR06(517-522).
IEEE DOI 0604
Silhouette represented by 4 1-D features - difference between bounding box and silhouette. BibRef

Ekinci, M.[Murat], Gedikli, E.[Eyup],
A Novel Approach on Silhouette Based Human Motion Analysis for Gait Recognition,
ISVC05(219-226).
Springer DOI 0512
BibRef

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 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],
Infrared gait recognition based on wavelet transform and support vector machine,
PR(43), No. 8, August 2010, pp. 2904-2910.
Elsevier DOI 1006
Gait recognition; Infrared thermal imaging; Wavelet transform; Support vector machine; Feature extraction BibRef

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 1003
BibRef
And:
Cross-view Gait Recognition Using Correlation Strength,
BMVC10(xx-yy).
HTML Version. 1009
BibRef
Earlier:
Gait Representation Using Flow Fields,
BMVC09(xx-yy).
PDF File. 0909
BibRef
Earlier:
Feature Selection for Gait Recognition without Subject Cooperation,
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Gait recognition BibRef

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Analysis of Time Domain Information for Footstep Recognition,
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Springer DOI 1011
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Vera-Rodriguez, R.[Ruben], Mason, J.S.D., Fierrez, J.[Julian], Ortega-Garcia, J.[Javier],
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IEEE DOI 1303
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IEICE(E95-D), No. 7, July 2012, pp. 1969-1978.
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Millimeter-Wave Doppler Spectrum and Polarimetric Response of Walking Bodies,
GeoRS(50), No. 7, July 2012, pp. 2866-2879.
IEEE DOI 1208
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Vondrak, M.[Marek], Sigal, L.[Leonid], Jenkins, O.C.[Odest Chadwicke],
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PAMI(35), No. 1, January 2013, pp. 52-65.
IEEE DOI 1212
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Physical simulation for probabilistic motion tracking,
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IEEE DOI 0806
Impose physical feasibility. BibRef

Hu, M., Wang, Y., Zhang, Z., Zhang, D., Little, J.J.,
Incremental Learning for Video-Based Gait Recognition With LBP Flow,
Cyber(43), No. 1, February 2013, pp. 77-89.
IEEE DOI 1302
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Hu, M., Wang, Y., Zhang, Z.,
Maximisation of mutual information for gait-based soft biometric classification using gabor features,
IET-Bio(1), No. 1, March 2012, pp. 55-62.
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Lee, C.P.[Chin Poo], Tan, A.W.C.[Alan W.C.], Tan, S.C.A.[Shing Chi-Ang],
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PRL(34), No. 6, 15 April 2013, pp. 663-669.
Elsevier DOI 1303
Gait recognition; Fourier descriptor; Shape interpolation BibRef

Lee, C.P.[Chin Poo], Tan, A.W.C.[Alan W.C.], Tan, S.C.A.[Shing Chi-Ang],
Gait recognition with Transient Binary Patterns,
JVCIR(33), No. 1, 2015, pp. 69-77.
Elsevier DOI 1512
Gait recognition BibRef

Lee, C.P.[Chin Poo], Tan, A.W.C.[Alan W.C.], Tan, S.C.A.[Shing Chi-Ang],
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JVCIR(25), No. 5, 2014, pp. 822-826.
Elsevier DOI 1406
Gait BibRef

Zhang, X.[Xin], Fan, G.L.[Guo-Liang],
Dual Gait Generative Models for Human Motion Estimation From a Single Camera,
SMC-B(40), No. 4, August 2010, pp. 1034-1049.
IEEE DOI 1008
BibRef
Earlier:
Dual generative models for human motion estimation from an uncalibrated monocular camera,
ICPR08(1-4).
IEEE DOI 0812
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Ding, M.[Meng], Fan, G.L.[Guo-Liang],
Multilayer Joint Gait-Pose Manifolds for Human Gait Motion Modeling,
Cyber(45), No. 11, November 2015, pp. 2413-2424.
IEEE DOI 1511
BibRef
Earlier:
Multi-layer joint gait-pose manifold for human motion modeling,
FG13(1-8)
IEEE DOI 1309
Data models. gait analysis BibRef

Zhang, X.[Xin], Ding, M.[Meng], Fan, G.L.[Guo-Liang],
Video-Based Human Walking Estimation Using Joint Gait and Pose Manifolds,
CirSysVideo(27), No. 7, July 2017, pp. 1540-1554.
IEEE DOI 1707
Data models, Gaussian processes, Kinematics, Legged locomotion, Manifolds, Visualization, Gaussian process latent variable models (GPLVMs), human motion modeling, joint gait and pose manifold (JGPM), manifold learning, video-based, pose, estimation BibRef

Zhang, X.[Xin], Fan, G.L.[Guo-Liang],
Joint gait-pose manifold for video-based human motion estimation,
MLVMA11(47-54).
IEEE DOI 1106
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Ding, M.[Meng], Fan, G.L.[Guo-Liang], Zhang, X.[Xin], Ge, S.[Song], Chou, L.S.[Li-Shan],
Structure-guided manifold learning for video-based motion estimation,
ICIP12(1977-1980).
IEEE DOI 1302
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Zhang, X.[Xin], Fan, G.L.[Guo-Liang], Chou, L.S.[Li-Shan],
Two-layer dual gait generative models for human motion estimation from a single camera,
IVC(31), No. 6-7, June-July 2013, pp. 473-486.
Elsevier DOI 1306
BibRef
Earlier:
Two-layer generative models for estimating unknown gait kinematics,
MLMotion09(413-420).
IEEE DOI 0910
Human motion estimation; Manifold learning; Manifold topology; Generative models; Part-whole human representation BibRef

Hao, Z.F.[Zhi-Feng], He, L.F.[Li-Fang], Chen, B.Q.[Bing-Qian], Yang, X.W.[Xiao-Wei],
A Linear Support Higher-Order Tensor Machine for Classification,
IP(22), No. 7, 2013, pp. 2911-2920.
IEEE DOI 1307
radial basis function networks; higher-order tensors; third-order gait recognition BibRef

Dupuis, Y., Savatier, X., Vasseur, P.,
Feature subset selection applied to model-free gait recognition,
IVC(31), No. 8, August 2013, pp. 580-591.
Elsevier DOI 1306
Feature selection; Gait recognition; Model-free; Panoramic; Random forest BibRef

Maki, A.[Atsuto], Perbet, F.[Frank], Stenger, B.[Björn], Cipolla, R.[Roberto],
Detecting bipedal motion from correlated probabilistic trajectories,
PRL(34), No. 15, 2013, pp. 1808-1818.
Elsevier DOI 1309
Motion BibRef

He, R.[Ran], Zheng, W.S.[Wei-Shi], Tan, T.N.[Tie-Niu], Sun, Z.A.[Zhen-An],
Half-Quadratic-Based Iterative Minimization for Robust Sparse Representation,
PAMI(36), No. 2, February 2014, pp. 261-275.
IEEE DOI 1402
computer vision BibRef

He, R.[Ran], Zhang, Y.Y.[Ying-Ya], Sun, Z.A.[Zhen-An], Yin, Q.Y.[Qi-Yue],
Robust Subspace Clustering With Complex Noise,
IP(24), No. 11, November 2015, pp. 4001-4013.
IEEE DOI 1509
computer vision BibRef

Zhang, Y.Y.[Ying-Ya], Sun, Z.A.[Zhen-An], He, R.[Ran], Tan, T.N.[Tie-Niu],
Robust Subspace Clustering via Half-Quadratic Minimization,
ICCV13(3096-3103)
IEEE DOI 1403
BibRef
And:
Robust Low-Rank Representation via Correntropy,
ACPR13(461-465)
IEEE DOI 1408
iterative methods BibRef

Zheng, S.[Shuai], Zhang, J.G.[Jun-Ge], Huang, K.Q.[Kai-Qi], He, R.[Ran], Tan, T.N.[Tie-Niu],
Robust View Transformation Model for Gait Recognition,
ICIP11(2073-2076).
IEEE DOI 1201
BibRef

Steinicke, F., Visell, Y., Campos, J., Lécuyer, A., (Eds.)


Human Walking in Virtual Environments: Perception, Technology, and Applications,
Springer2013. ISBN 978-1-4419-8431-9.
WWW Link. 1404
A survey of past and recent developments on human walking in virtual environments with an emphasis on human self-motion perception, the multisensory nature of experiences of walking, conceptual design approaches, current technologies, and applications. BibRef

Guan, Y.[Yu], Sun, Y.L.[Yun-Lian], Li, C.T.[Chang-Tsun], Tistarelli, M.,
Human gait identification from extremely low-quality videos: An enhanced classifier ensemble method,
IET-Bio(3), No. 2, June 2014, pp. 84-93.
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Zeng, W.[Wei], Wang, C.[Cong], Yang, F.F.[Fei-Fei],
Silhouette-based gait recognition via deterministic learning,
PR(47), No. 11, 2014, pp. 3568-3584.
Elsevier DOI 1407
Gait recognition BibRef

Deng, M.Q.[Mu-Qing], Wang, C.[Cong], Chen, Q.F.[Qing-Feng],
Human gait recognition based on deterministic learning through multiple views fusion,
PRL(78), No. 1, 2016, pp. 56-63.
Elsevier DOI 1606
Gait recognition BibRef

Iwashita, Y.[Yumi], Ogawara, K.[Koichi], Kurazume, R.[Ryo],
Identification of people walking along curved trajectories,
PRL(48), No. 1, 2014, pp. 60-69.
Elsevier DOI 1410
BibRef
Earlier: A1, A3, A2:
Expanding gait identification methods from straight to curved trajectories,
WACV13(193-199).
IEEE DOI 1303
Gait BibRef

Lai, Z.H.[Zhi-Hui], Xu, Y.[Yong], Jin, Z.[Zhong], Zhang, D.,
Human Gait Recognition via Sparse Discriminant Projection Learning,
CirSysVideo(24), No. 10, October 2014, pp. 1651-1662.
IEEE DOI 1411
feature extraction BibRef

Kusakunniran, W.[Worapan],
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Elsevier DOI 1412
Gait recognition BibRef

Ngo, T.T.[Trung Thanh], Makihara, Y.S.[Yasu-Shi], Nagahara, H.[Hajime], Mukaigawa, Y.[Yasuhiro], Yagi, Y.S.[Yasu-Shi],
Similar gait action recognition using an inertial sensor,
PR(48), No. 4, 2015, pp. 1289-1301.
Elsevier DOI 1502
BibRef
Earlier:
Inertial-sensor-based walking action recognition using robust step detection and inter-class relationships,
ICPR12(3811-3814).
WWW Link. 1302
Gait action recognition BibRef

Wang, X.[Xuan], Yang, T.F.[Teng-Fei], Yu, Y.[Yao], Zhang, R.X.[Rui-Xin], Guo, F.X.[Fang-Xia],
Footstep-Identification System Based on Walking Interval,
IEEE_Int_Sys(30), No. 2, March 2015, pp. 46-52.
IEEE DOI 1504
Behavioral analysis BibRef

Whytock, T.[Tenika], Belyaev, A.[Alexander], Robertson, N.M.[Neil M.],
On covariate factor detection and removal for robust gait recognition,
MVA(26), No. 5, July 2015, pp. 661-674.
WWW Link. 1506
BibRef

Guan, Y., Li, C., Roli, F.,
On Reducing the Effect of Covariate Factors in Gait Recognition: A Classifier Ensemble Method,
PAMI(37), No. 7, July 2015, pp. 1521-1528.
IEEE DOI 1506
Analytical models BibRef

Muramatsu, D., Makihara, Y., Yagi, Y.,
Cross-view gait recognition by fusion of multiple transformation consistency measures,
IET-Bio(4), No. 2, 2015, pp. 62-73.
DOI Link 1507
calibration BibRef

Muramatsu, D., Makihara, Y., Yagi, Y.,
View Transformation Model Incorporating Quality Measures for Cross-View Gait Recognition,
Cyber(46), No. 7, July 2016, pp. 1602-1615.
IEEE DOI 1606
Accuracy BibRef

Chattopadhyay, P.[Pratik], Sural, S.[Shamik], Mukherjee, J.[Jayanta],
Frontal gait recognition from occluded scenes,
PRL(63), No. 1, 2015, pp. 9-15.
Elsevier DOI 1508
BibRef
Earlier:
Exploiting Pose Information for Gait Recognition from Depth Streams,
CDC4CV14(341-355).
Springer DOI 1504
Frontal gait recognition See also Information fusion from multiple cameras for gait-based re-identification and recognition. BibRef

Zhang, Y.T.[Yu-Ting], Pan, G.[Gang], Jia, K.[Kui], Lu, M.L.[Min-Long], Wang, Y.M.[Yue-Ming], Wu, Z.H.[Zhao-Hui],
Accelerometer-Based Gait Recognition by Sparse Representation of Signature Points With Clusters,
Cyber(45), No. 9, September 2015, pp. 1864-1875.
IEEE DOI 1509
accelerometers BibRef

Marín-Jiménez, M.J.[Manuel J.], Castro, F.M.[Francisco M.], Carmona-Poyato, Á.[Ángel], Guil, N.[Nicolás],
On how to improve tracklet-based gait recognition systems,
PRL(68, Part 1), No. 1, 2015, pp. 103-110.
Elsevier DOI 1512
Gait recognition BibRef

Xing, X.L.[Xiang-Lei], Wang, K.[Kejun], Yan, T.[Tao], Lv, Z.W.[Zhuo-Wen],
Complete canonical correlation analysis with application to multi-view gait recognition,
PR(50), No. 1, 2016, pp. 107-117.
Elsevier DOI 1512
Canonical correlation analysis BibRef

Rida, I., Jiang, X., Marcialis, G.L.,
Human Body Part Selection by Group Lasso of Motion for Model-Free Gait Recognition,
SPLetters(23), No. 1, January 2016, pp. 154-158.
IEEE DOI 1601
Clothing BibRef

Guan, S., Gray, H.A., Keynejad, F., Pandy, M.G.,
Mobile Biplane X-Ray Imaging System for Measuring 3D Dynamic Joint Motion During Overground Gait,
MedImg(35), No. 1, January 2016, pp. 326-336.
IEEE DOI 1601
Bones BibRef

Shi, J.L.[Jin-Long], Sun, Z.X.[Zheng-Xing],
Large-scale three-dimensional measurement based on LED marker tracking,
VC(32), No. 2, February 2016, pp. 179-190.
WWW Link. 1602
BibRef

Nangtin, P.[Prasit], Kumhom, P.[Pinit], Chamnongthai, K.[Kosin],
Gait identification with partial occlusion using six modules and consideration of occluded module exclusion,
JVCIR(36), No. 1, 2016, pp. 107-121.
Elsevier DOI 1603
Gait identification BibRef

Sung, Y., Chung, W.,
Hierarchical Sample-Based Joint Probabilistic Data Association Filter for Following Human Legs Using a Mobile Robot in a Cluttered Environment,
HMS(46), No. 3, June 2016, pp. 340-349.
IEEE DOI 1605
Estimation BibRef

Lao, S.H.[Shi-Hong], Wang, D.[Dong], li, F.[Fu], Zhang, H.H.[Hai-Hong],
Human running detection: Benchmark and baseline,
CVIU(153), No. 1, 2016, pp. 143-150.
Elsevier DOI 1612
Running detection BibRef

Van Nguyen, L., La, H.M.,
Real-Time Human Foot Motion Localization Algorithm With Dynamic Speed,
HMS(46), No. 6, December 2016, pp. 822-833.
IEEE DOI 1612
Kalman filters BibRef

Ortells, J.[Javier], Mollineda, R.A.[Ramón A.], Mederos, B.[Boris], Martín-Félez, R.[Raúl],
Gait recognition from corrupted silhouettes: A robust statistical approach,
MVA(28), No. 1-2, February 2017, pp. 15-33.
Springer DOI 1702
BibRef

Wu, Z.F.[Zi-Feng], Huang, Y.Z.[Yong-Zhen], Wang, L.[Liang], Wang, X.G.[Xiao-Gang], Tan, T.N.[Tie-Niu],
A Comprehensive Study on Cross-View Gait Based Human Identification with Deep CNNs,
PAMI(39), No. 2, February 2017, pp. 209-226.
IEEE DOI 1702
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Balazia, M.[Michal], Plataniotis, K.N.[Konstantinos N.],
Human gait recognition from motion capture data in signature poses,
IET-Bio(6), No. 2, March 2017, pp. 129-137.
DOI Link 1703
BibRef

Balazia, M.[Michal], Sojka, P.[Petr],
Walker-Independent Features for Gait Recognition from Motion Capture Data,
SSSPR16(310-321).
Springer DOI 1611
BibRef

Chhatrala, R.[Risil], Jadhav, D.V.[Dattatray V.],
Multilinear Laplacian discriminant analysis for gait recognition,
IET-CV(11), No. 2, March 2017, pp. 153-160.
DOI Link 1703
BibRef

Deng, M.Q.[Mu-Qing], Wang, C.[Cong], Cheng, F.J.[Feng-Jiang], Zeng, W.[Wei],
Fusion of spatial-temporal and kinematic features for gait recognition with deterministic learning,
PR(67), No. 1, 2017, pp. 186-200.
Elsevier DOI 1704
Gait recognition BibRef

Connie, T., Goh, M.K.O., Teoh, A.B.J.[Andrew Beng Jin],
A Grassmannian Approach to Address View Change Problem in Gait Recognition,
Cyber(47), No. 6, June 2017, pp. 1395-1408.
IEEE DOI 1706
Cameras, Feature extraction, Gait recognition, Manifolds, Principal component analysis, Probes, Solid modeling, Extreme learning machines (ELMs), Grassmann manifold, gait recognition, pattern, recognition BibRef

Ryu, J.[Jaehwan], Lee, B.H.[Byeong-Hyeon], Kim, D.H.[Deok-Hwan],
sEMG Signal-Based Lower Limb Human Motion Detection Using a Top and Slope Feature Extraction Algorithm,
SPLetters(24), No. 7, July 2017, pp. 929-932.
IEEE DOI 1706
Feature extraction, Legged locomotion, Motion detection, Muscles, Reactive power, Signal processing algorithms, Timing, Electromyography (EMG), feature extraction, gait recognition, human-computer interaction, locomotion, mode BibRef

Verlekar, T.T.[Tanmay T.], Correia, P.L.[Paulo L.], Soares, L.D.[Luís D.],
View-invariant gait recognition system using a gait energy image decomposition method,
IET-Bio(6), No. 4, July 2017, pp. 299-306.
DOI Link 1707
BibRef

Alotaibi, M.[Munif], Mahmood, A.[Ausif],
Reducing covariate factors of gait recognition using feature selection and dictionary-based sparse coding,
SIViP(11), No. 6, September 2017, pp. 1131-1138.
WWW Link. 1708
BibRef
Earlier:
Improved Gait recognition based on specialized deep convolutional neural networks,
AIPR15(1-7)
IEEE DOI 1605
biometrics (access control) BibRef

Lishani, A.O.[Ait O.], Boubchir, L.[Larbi], Khalifa, E.[Emad], Bouridane, A.[Ahmed],
Human gait recognition based on Haralick features,
SIViP(11), No. 6, September 2017, pp. 1123-1130.
Springer DOI 1708
BibRef

Isaac, E.R.H.P., Elias, S., Rajagopalan, S., Easwarakumar, K.S.,
View-Invariant Gait Recognition Through Genetic Template Segmentation,
SPLetters(24), No. 8, August 2017, pp. 1188-1192.
IEEE DOI 1708
gait analysis, genetic algorithms, image recognition, image segmentation, active energy image template, boundary selection process, gait energy image template, gait entropy image template, genetic algorithm, genetic template segmentation, template-based model-free approach, view-invariant gait recognition, Biological cells, Clothing, Feature extraction, Gait recognition, Genetic algorithms, Genetics, Legged locomotion, Biometrics, gait recognition, genetic algorithms (GAs), linear, discriminant, analysis, (LDA) BibRef

Gadaleta, M.[Matteo], Rossi, M.[Michele],
IDNet: Smartphone-based gait recognition with convolutional neural networks,
PR(74), No. 1, 2018, pp. 25-37.
Elsevier DOI 1711
Biometric, gait, analysis BibRef


Wang, Q., Potaraju, C., Turaga, P.,
Measuring Glide-Reflection Symmetry in Human Movements Using Elastic Shape Analysis,
Diff-CVML17(709-716)
IEEE DOI 1709
Computer vision, Foot, Legged locomotion, Real-time systems, Shape, Trajectory BibRef

Yeoh, T.[Tze_Wei], Aguirre, H.E.[Hernán E.], Tanaka, K.[Kiyoshi],
Stacked Progressive Auto-Encoders for Clothing-Invariant Gait Recognition,
CAIP17(II: 151-161).
Springer DOI 1708
BibRef

Yu, S., Chen, H., García-Reyes, E.B.[Edel B.], Poh, N.,
GaitGAN: Invariant Gait Feature Extraction Using Generative Adversarial Networks,
Biometrics17(532-539)
IEEE DOI 1709
Clothing, Feature extraction, Gait recognition, Gallium nitride, Generators, Legged locomotion, Training BibRef

Lamar Leon, J.[Javier], Alonso-Baryolo, R., García-Reyes, E.B.[Edel B.], Gonzalez-Diaz, R.[Rocio],
Persistent homology-based gait recognition robust to upper body variations,
ICPR16(1083-1088)
IEEE DOI 1705
Feature extraction, Gait recognition, Legged locomotion, Pattern recognition, Robustness, Shape, Video, sequences BibRef

Lamar Leon, J.[Javier], Cerri, A.[Andrea], García-Reyes, E.B.[Edel B.], Gonzalez-Diaz, R.[Rocio],
Gait-Based Gender Classification Using Persistent Homology,
CIARP13(II:366-373).
Springer DOI 1311
BibRef

Balazia, M., Sojka, P.,
Learning robust features for gait recognition by Maximum Margin Criterion,
ICPR16(901-906)
IEEE DOI 1705
Eigenvalues and eigenfunctions, Extraterrestrial measurements, Feature extraction, Gait recognition, Joints, Matrix decomposition, Principal, component, analysis BibRef

Devanne, M., Wannous, H., Daoudi, M., Berretti, S., Del Bimbo, A., Pala, P.,
Learning shape variations of motion trajectories for gait analysis,
ICPR16(895-900)
IEEE DOI 1705
Legged locomotion, Motion segmentation, Sensors, Shape, Skeleton, Three-dimensional displays, Trajectory BibRef

Yu, S., Wang, Q.[Qing], Shen, L.L.[Lin-Lin], Huang, Y.Z.[Yong-Zhen],
View invariant gait recognition using only one uniform model,
ICPR16(889-894)
IEEE DOI 1705
Computational modeling, Feature extraction, Gait recognition, Legged locomotion, Probes, Training, Transforms BibRef

Feng, Y.[Yang], Li, Y.C.[Yun-Cheng], Luo, J.B.[Jie-Bo],
Learning effective Gait features using LSTM,
ICPR16(325-330)
IEEE DOI 1705
Cameras, Feature extraction, Gait recognition, Heating systems, Pose estimation, Training, Transforms BibRef

Matin, A., Paul, J., Sayeed, T.,
Segment based co-factor detection and elimination for effective gait recognition,
IVPR17(1-5)
IEEE DOI 1704
Databases BibRef

Kellokumpu, V.[Vili], Särkiniemi, M.[Markus], Zhao, G.Y.[Guo-Ying],
Affective Gait Recognition and Baseline Evaluation from Real World Samples,
SFBA16(I: 567-575).
Springer DOI 1704
BibRef

Binsaadoon, A.G.[Amer G.], El-Alfy, E.S.M.[El-Sayed M.],
Multi-Kernel Fuzzy-Based Local Gabor Patterns for Gait Recognition,
ISVC16(I: 790-799).
Springer DOI 1701
BibRef

Manikashani, P.[Peyman], Boyd, J.E.[Jeffrey E.],
A Phase-Entrained Particle Filter for Audio-Locomotion Synchronization,
CRV16(242-249)
IEEE DOI 1612
gait analysis; particle filter; sonification; syncrhonization BibRef

Lu, Y., Velipasalar, S.,
Robust footstep counting and traveled distance calculation by mobile phones incorporating camera geometry,
ICIP16(464-468)
IEEE DOI 1610
Accelerometers BibRef

Liang, G., Li, Q., Kang, X.,
Pedestrian detection via a leg-driven physiology framework,
ICIP16(2926-2930)
IEEE DOI 1610
Context BibRef

Lai, C.Y.[Cheng-Yuan], McMahan, R.P., Hall, J.,
March-and-Reach: A realistic ladder climbing technique,
3DUI15(15-18)
IEEE DOI 1511
gait analysis BibRef

Yeoh, T.W.[Tze Wei], Zapotecas-Martínez, S.[Saúl], Akimoto, Y.[Youhei], Aguirre, H.E.[Hernán E.], Tanaka, K.[Kiyoshi],
Feature Selection in Gait Classification Using Geometric PSO Assisted by SVM,
CAIP15(II:566-578).
Springer DOI 1511
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Zell, P.[Petrissa], Wandt, B., Rosenhahn, B.[Bodo],
Joint 3D Human Motion Capture and Physical Analysis from Monocular Videos,
Cognition17(17-26)
IEEE DOI 1709
BibRef
Earlier: A1, A3, Only:
A Physics-Based Statistical Model for Human Gait Analysis,
GCPR15(169-180).
Springer DOI 1511
Cameras, Computational modeling, Optimization, Solid modeling, Three-dimensional displays, Torque, Two, dimensional, displays BibRef

Iwashita, Y.[Yumi], Sakano, H.[Hitoshi], Kurazume, R.[Ryo],
Gait Recognition Robust to Speed Transition Using Mutual Subspace Method,
CIAP15(I:141-149).
Springer DOI 1511
BibRef

Derlatka, M.[Marcin], Bogdan, M.[Mariusz],
Fusion of Static and Dynamic Parameters at Decision Level in Human Gait Recognition,
PReMI15(515-524).
Springer DOI 1511
BibRef

Rida, I.[Imad], Bouridane, A.[Ahmed], Marcialis, G.L.[Gian Luca], Tuveri, P.[Pierluigi],
Improved Human Gait Recognition,
CIAP15(II:119-129).
Springer DOI 1511
BibRef

Makihara, Y., Mansur, A., Muramatsu, D., Uddin, Z., Yagi, Y.,
Multi-view discriminant analysis with tensor representation and its application to cross-view gait recognition,
FG15(1-8)
IEEE DOI 1508
gait analysis BibRef

Kondo, T., Kato, K., Yamamoto, K.,
A proposal of ambient light estimation methods for skin region detection,
FCV15(1-6)
IEEE DOI 1506
gait analysis BibRef

Pu, R.[Rui], Wang, Y.H.[Yun-Hong],
2-D Structure-Based Gait Recognition in Video Using Incremental GMM-HMM,
Gait14(I: 58-70).
Springer DOI 1504
BibRef

Wang, T.[Ting], Dune, C.[Claire], Merlet, J.P.[Jean-Pierre], Gorce, P.[Philippe], Sacco, G.[Guillaume], Robert, P.[Philippe], Turpin, J.M.[Jean-Michel], Teboul, B.[Bernard], Marteu, A.[Audrey], Guerin, O.[Olivier],
A New Application of Smart Walker for Quantitative Analysis of Human Walking,
ACVR14(464-480).
Springer DOI 1504
BibRef

Derbel, A., Chetouani, A., Treuillet, S., Emile, B., Mansouri, N., Ben Jemaa, Y.,
Interest lower body point's detection for markerless gait analysis,
IPTA14(1-6)
IEEE DOI 1503
computer vision BibRef

Tafazzoli, F.[Faezeh], Bebis, G.N.[George N.], Louis, S.[Sushil], Hussain, M.[Muhammad],
Improving Human Gait Recognition Using Feature Selection,
ISVC14(II: 830-840).
Springer DOI 1501
BibRef

De Cann, B.[Brian], Ross, A.[Arun], Culp, M.[Mark],
On Clustering Human Gait Patterns,
ICPR14(1794-1799)
IEEE DOI 1412
Clustering algorithms BibRef

Deng, X.M.[Xiao-Ming], Xia, S.H.[Shi-Hong], Wang, W.Z.[Wen-Zhong], Wang, Z.Q.[Zhao-Qi], Chang, L.[Liang], Wang, H.[Hongan],
Automatic Gait Motion Capture with Missing-Marker Fillings,
ICPR14(2507-2512)
IEEE DOI 1412
Cameras BibRef

Yang, Y.Z.[Ya-Zhou], Tu, D.[Dan], Li, G.H.[Guo-Hui],
Gait Recognition Using Flow Histogram Energy Image,
ICPR14(444-449)
IEEE DOI 1412
Computer vision BibRef

Okada, T., Yamazoe, H., Mitsugami, I., Yagi, Y.,
Preliminary Analysis of Gait Changes That Correspond to Gaze Directions,
ACPR13(788-792)
IEEE DOI 1408
gait analysis BibRef

Sengupta, S., Halder, U., Panda, R., Chowdhury, A.S.,
A frequency domain approach to silhouette based gait recognition,
NCVPRIPG13(1-4)
IEEE DOI 1408
Fourier transforms BibRef

Deepak, N.A., Hariharan, R., Sinha, U.N.,
Analysing gait sequences using Latent Dirichlet Allocation for certain human actions,
NCVPRIPG13(1-4)
IEEE DOI 1408
gait analysis BibRef

Nakazawa, M., Mitsugami, I., Yamazoe, H., Yagi, Y.,
Distinguishing Pedestrians Facing to the Front and the Side by Gait Observation,
ACPR13(486-490)
IEEE DOI 1408
gait analysis BibRef

Lombardi, S.[Stephen], Nishino, K.[Ko], Makihara, Y.S.[Yasu-Shi], Yagi, Y.S.[Yasu-Shi],
Two-Point Gait: Decoupling Gait from Body Shape,
ICCV13(1041-1048)
IEEE DOI 1403
Gait Recognition BibRef

Jeevan, M., Jain, N.[Neha], Hanmandlu, M., Chetty, G.[Girija],
Gait recognition based on gait pal and pal entropy image,
ICIP13(4195-4199)
IEEE DOI 1402
Gait Pal and Pal Entropy Image (GPPE);Gait Recognition BibRef

Yang, C.[Cheng], Ugbolue, U.[Ukadike], Carse, B.[Bruce], Stankovic, V.[Vladimir], Stankovic, L.[Lina], Rowe, P.[Philip],
Multiple marker tracking in a single-camera system for gait analysis,
ICIP13(3128-3131)
IEEE DOI 1402
Gait analysis; Marker tracking; bStructural-Similarity BibRef

Derbel, A.[Ahmed], Mansouri, N.[Nabila], Ben Jemaa, Y.[Yousra], Emile, B.[Bruno], Treuillet, S.[Sylvie],
Comparative Study between Spatio/Temporal Descriptors for Pedestrians Recognition by Gait,
ICIAR13(35-42).
Springer DOI 1307
BibRef

Derbel, A.[Ahmed], Ben Jemaa, Y.[Yousra], Canals, R., Emile, B.[Bruno], Treuillet, S.[Sylvie], Ben Hamadou, A.,
Comparative study between color texture and shape descriptors for multi-camera pedestrians identification,
IPTA12(313-318)
IEEE DOI 1503
cameras BibRef

Chaubey, H., Hanmandlu, M., Vasikarla, S.,
Enhanced view invariant gait recognition using feature level fusion,
AIPR14(1-5)
IEEE DOI 1504
gait analysis BibRef

Kochhar, A., Gupta, D., Hanmandlu, M., Vasikarla, S.,
Novel features for silhouette based gait recognition systems,
AIPR12(1-6)
IEEE DOI 1307
feature extraction BibRef

Lorenzo, J.O.[Javier Ortells], Martín-Félez, R.[Raúl], Cárdenas, R.A.M.[Ramón A. Mollineda],
A Complexity Measure of Gait Perception,
IbPRIA13(492-499).
Springer DOI 1307
BibRef

Jung, D.U.[Da-Un], Oh, W.G.[Wean Geun], Choi, J.S.[Jong-Soo],
Model-based gait tracking method: A review of recent development gesture interaction,
FCV13(250-253).
IEEE DOI 1304
BibRef

Schuldhaus, D.[Dominik], Kugler, P.[Patrick], Jensen, U.[Ulf], Eskofier, B.[Bjoern], Schlarb, H.[Heiko], Leible, M.[Magnus],
Classification of surfaces and inclinations during outdoor running using shoe-mounted inertial sensors,
ICPR12(2258-2261).
WWW Link. 1302
Other sensors. not images. BibRef

Zhu, Y.Y.[Ying-Ying], Valmadre, J.[Jack], Lucey, S.[Simon],
Camera-less articulated trajectory reconstruction,
ICPR12(841-844).
WWW Link. 1302
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Martin-Felez, R.[Raul], Orteils, J.[Javier], Mollineda, R.A.[Ramon A.],
Exploring the effects of video length on gait recognition,
ICPR12(3411-3414).
WWW Link. 1302
BibRef

Liu, Y.S.[Yu-Shu], Zhang, J.P.[Jun-Ping], Wang, C.[Chen], Wang, L.[Liang],
Multiple HOG templates for gait recognition,
ICPR12(2930-2933).
WWW Link. 1302
BibRef

Hofmann, M.[Martin], Rigoll, G.[Gerhard],
Improved Gait Recognition using Gradient Histogram Energy Image,
ICIP12(1389-1392).
IEEE DOI 1302
BibRef

Li, Y.[Yanan], Yin, Y.L.[Yi-Long], Liu, L.[Lili], Pang, S.H.[Shao-Hua], Yu, Q.[Qiuhong],
Semi-supervised Gait Recognition Based on Self-Training,
AVSS12(288-293).
IEEE DOI 1211
BibRef

Kolawole, A.[Akintola], Tavakkoli, A.[Alireza],
A Novel Gait Recognition System Based on Hidden Markov Models,
ISVC12(II: 125-134).
Springer DOI 1209
BibRef

Lin, H.W.[Hung-Wei], Hu, M.C.[Min-Chun], Wu, J.L.[Ja-Ling],
Gait-Based Action Recognition via Accelerated Minimum Incremental Coding Length Classifier,
MMMod12(266-276).
Springer DOI 1201
BibRef

Harle, R.[Robert], Cameron, J.[Jonathan], Lasenby, J.[Joan],
Foot Contact Detection for Sprint Training,
VECTaR10(297-306).
Springer DOI 1109
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Zhang, Z.[Zheng], Seah, H.S.[Hock Soon],
Real-time tracking of unconstrained full-body motion using Niching Swarm Filtering combined with local optimization,
HAU3D11(23-28).
IEEE DOI 1106
BibRef

Ishikawa, E.[Eri], Karungaru, S.[Stephen], Terada, K.[Kenji],
Gait features extraction method using image processing,
FCV11(1-6).
IEEE DOI 1102
BibRef

Watanabe, Y.[Yoshihiro], Hatanaka, T.[Tetsuo], Komuro, T.[Takashi], Ishikawa, M.[Masatoshi],
Human gait estimation using a wearable camera,
WACV11(276-281).
IEEE DOI 1101
BibRef

Kotsia, I.[Irene], Patras, I.[Ioannis],
Exploring the Similarities of Neighboring Spatiotemporal Points for Action Pair Matching,
ACCV12(III:624-635).
Springer DOI 1304
BibRef
And:
Support tensor action spotting,
ICIP12(1397-1400).
IEEE DOI 1302
BibRef
Earlier:
Relative Margin Support Tensor Machines for gait and action recognition,
CIVR10(446-453).
DOI Link 1007
See also Support tucker machines. See also Higher rank Support Tensor Machines for visual recognition. 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).
Springer DOI 0911
BibRef

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 0909
BibRef

Tahmoush, D., Silvious, J.,
Remote detection of humans and animals,
AIPR09(1-8).
IEEE DOI 0910
BibRef

Tahmoush, D., Silvious, J.,
Radar micro-doppler for long range front-view gait recognition,
BTAS09(1-6).
IEEE DOI 0909
BibRef

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).
Springer DOI 0911
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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).
IEEE DOI 0912
BibRef

Dadashi, F., Araabi, B.N., Soltanian-Zadeh, H.,
Gait Recognition Using Wavelet Packet Silhouette Representation and Transductive Support Vector Machines,
CISP09(1-5).
IEEE DOI 0910
BibRef

Lawson, W.[Wallace], Duric, Z.[Zoran],
Analyzing Human Gait Using Patterns of Translation and Rotation,
ICIAR09(408-417).
Springer DOI 0907
BibRef

Lawson, W.[Wallace], Duric, Z.[Zoran], Wechsler, H.[Harry],
Gait Analysis using Independent Components of image motion,
FG08(1-6).
IEEE DOI 0809
BibRef

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 0909
BibRef
And:
Analyzing Gait Using a Time-of-Flight Camera,
SCIA09(21-30).
Springer DOI 0906
BibRef

Tanaka, H., Wu, X., Arai, H., Koike, H.,
Modeling timing structures in gait image sequences using bottom-up clustering,
IVCNZ08(1-6).
IEEE DOI 0811
BibRef

Lee, T.K.M.[Tracey K. M.], Belkhatir, M., Lee, P.A., Sanei, S.,
Fronto-normal gait incorporating accurate practical looming compensation,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Wu, C.C.[Chun-Chih], Medina, J.[Jose], Zordan, V.B.[Victor B.],
Simple Steps for Simply Stepping,
ISVC08(I: 97-106).
Springer DOI 0812
Animating stepping motion. BibRef

Lawson, W.[Wallace], Wechsler, H.[Harry],
Comparative Assessment of ICA Architectures for Gait Recognition,
BTAS07(1-5).
IEEE DOI 0709
BibRef

Romero-Moreno, M., Martínez-Trinidad, J.F.[J. Francisco], Carrasco-Ochoa, J.A.,
Gait Recognition Based on Silhouette, Contour and Classifier Ensembles,
CIARP08(527-534).
Springer DOI 0809
BibRef

Ding, T.[Tao],
A robust identification approach to gait recognition,
CVPR08(1-8).
IEEE DOI 0806
BibRef

Srivastava, S.[Shruti], Sural, S.[Shamik],
Human Gait Recognition Using Temporal Slices,
PReMI07(592-599).
Springer DOI 0712
BibRef

Memisoglu, A.[Aydemir], Gudukbay, U.[Ugur], Ozguc, B.[Bulent],
Motion Control for Realistic Walking Behavior using Inverse Kinematics,
3DTV07(1-4).
IEEE DOI 0705
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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).
IEEE DOI 0612
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Lee, S.K.[Seung-Kyu], Liu, Y.X.[Yan-Xi], Collins, R.T.[Robert T.],
Shape Variation-Based Frieze Pattern for Robust Gait Recognition,
CVPR07(1-8).
IEEE DOI 0706
BibRef

Suk, H.I.[Heung-Il], Sin, B.K.[Bong-Kee],
HMM-Based Gait Recognition with Human Profiles,
SSPR06(596-603).
Springer DOI 0608
BibRef

Emoto, M., Hayashi, A., Suematsu, N., Iwata, K.,
View Independent Gait Identification Using a Particle Filter,
AVSBS06(74-74).
IEEE DOI 0611
BibRef

Ran, Y.[Yang], Chellappa, R.[Rama], Zheng, Q.F.[Qin-Fen],
Finding Gait in Space and Time,
ICPR06(IV: 586-589).
IEEE DOI 0609
BibRef

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 0611
BibRef
Earlier:
A Novel Human Gait Recognition Method by Segmenting and Extracting the Region Variance Feature,
ICPR06(IV: 425-428).
IEEE DOI 0609
BibRef

Hu, S., Buxton, B.F.,
Using Temporal Coherence for Gait Pose Estimation From a Monocular Camera View,
BMVC05(xx-yy).
HTML Version. 0509
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Fusco, N.[Nicolas], Nicolas, G.[Guillaume], Multon, F.[Franck], Crétual, A.[Armel],
Simulation of Hemiplegic Subjects' Locomotion,
GW05(236-247).
Springer DOI 0505
BibRef

Julliard, F.[Frédéric],
Handiposte: Ergonomic Evaluation of the Adaptation of Physically Disabled People's Workplaces,
GW05(248-251).
Springer DOI 0505
BibRef

Das, S.R., Wilson, R.C., Lazarewicz, M.T., Finkel, L.H.,
Gait Recognition by Two-Stage Principal Component Analysis,
FGR06(579-584).
IEEE DOI 0604
BibRef

Zhao, G.Y.[Guo-Ying], Cui, L.[Li], Li, H.[Hua],
Combining Wavelet Velocity Moments and Reflective Symmetry for Gait Recognition,
IWBRS05(205).
Springer DOI 0601
BibRef

Zhao, G.Y.[Guo-Ying], Chen, R.[Rui], Liu, G.Y.[Guo-Yi], Li, H.[Hua],
Amplitude spectrum-based gait recognition,
AFGR04(23-28).
WWW Link. 0411
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Chai, Y.M.[Yan-Mei], Ren, J.C.[Jin-Chang], Zhao, R.C.[Rong-Chun], Jia, J.P.[Jing-Ping],
Automatic Gait Recognition using Dynamic Variance Features,
FGR06(475-480).
IEEE DOI 0604
BibRef

Yang, H.D.[Hee-Deok], Sin, B.K.[Bong-Kee], Lee, S.W.[Seong-Whan],
Automatic Pedestrian Detection and Tracking for Real-Time Video Surveillance,
AVBPA03(242-250).
Springer DOI 0310
BibRef

Ye, B.[Bo], Wen, Y.[Yumei],
A New Gait Recognition Method Based on Body Contour,
ICARCV06(1-6).
IEEE DOI 0612
BibRef

Lie, A.S.[Agus Santoso], Shimomoto, R.[Ryo], Sakaguchi, S.[Shohei], Ishimura, T.[Toshiyuki], Enokida, S.[Shuichi], Wada, T.[Tomohito], Ejima, T.[Toshiaki],
Gait Recognition Using Spectral Features of Foot Motion,
AVBPA05(767).
Springer DOI 0509
BibRef

Lie, A.S.[Agus Santoso], Enokida, S.[Shuichi], Wada, T.[Tomohito], Ejima, T.[Toshiaki],
Magnitude and Phase Spectra of Foot Motion for Gait Recognition,
CAIP05(390).
Springer DOI 0509
BibRef

Fei, H., Reid, I.D.[Ian D.],
Dynamic Classifier for Non-rigid Human motion analysis,
BMVC04(xx-yy).
HTML Version. 0508
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Roy Chowdhury, A.K.[Amit K.],
A Measure of Deformability of Shapes, with Applications to Human Motion Analysis,
CVPR05(I: 398-404).
IEEE DOI 0507
BibRef

Cabo, J.M., Salgado, L., Cabrera, J.,
Adaptive segmentation for gymnastic exercises based on change detection over multiresolution combined differences,
ICIP04(I: 337-340).
IEEE DOI 0505
BibRef

Buades, J.M., Perales, F.J., Gonzalez, M., Aguiló, A., Martinez, P.,
Human Body Analysis with Biomechanics Criteria,
AMDO04(239-248).
Springer DOI 0505
BibRef

Tanawongsuwan, R.[Rawesak], Bobick, A.[Aaron],
Performance Analysis of Time-Distance Gait Parameters under Different Speeds,
AVBPA03(715-724).
Springer DOI 0310
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Giese, M.A.[Martin A.], Knappmeyer, B.[Barbara], Bülthoff, H.H.[Heinrich H.],
Automatic Synthesis of Sequences of Human Movements by Linear Combination of Learned Example Patterns,
BMCV02(538 ff.).
Springer DOI 0303
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Calow, R.[Roman], Michaelis, B.[Bernd], Al-Hamadi, A.[Ayoub],
Solutions for Model-Based Analysis of Human Gait,
DAGM03(540-547).
Springer DOI 0310
See also New Multi-camera Based Facial Expression Analysis Concept, A. BibRef

Davis, J.W.[James W.],
Visual Categorization of Children and Adult Walking Styles,
AVBPA01(295).
Springer DOI 0310
BibRef

Davis, J.W., Taylor, S.R.,
Analysis and recognition of walking movements,
ICPR02(I: 315-318).
IEEE DOI 0211
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Tassone, E., West, G.A.W., Venkatesh, S.,
Temporal PDMs for gait classification,
ICPR02(II: 1065-1068).
IEEE DOI 0211
BibRef

Meyer, D., Posl, J., Niemann, H.,
Gait Classification with HMMS for Trajectories of Body Parts Extracted by Mixture Densities,
BMVC98(459-468).
PS File. BibRef 9800

Denzler, J.[Joachim], Niemann, H.[Heinrich],
Real-time pedestrian tracking in natural scenes,
CAIP97(42-49).
Springer DOI 9709
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Meyer, D., Denzler, J.[Joachim], Niemann, H.[Heinrich],
Model Based Extraction of Articulated Objects in Image Sequences for Gait Analysis,
ICIP97(III: 78-81).
IEEE DOI
PS File. BibRef 9700

Cheng, J.C., and Moura, J.,
Tracking Human Walking in Dynamic Scenes,
ICIP97(I: 137-140).
IEEE DOI BibRef 9700

Geiger, D., Liu, T.L.[Tyng-Luh],
Recognizing articulated objects with information theoretic methods,
AFGR96(45-50).
IEEE DOI 9610
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Qian, R.J., and Huang, T.S.,
Motion Analysis of Articulated Objects with Applications to Human Ambulatory Patterns,
DARPA92(549-553). BibRef 9200
And:
Motion Analysis of Human Ambulatory Patterns,
ICPR92(I:220-223).
IEEE DOI Motion, Walking. BibRef

Niyogi, S.A.,
Spatiotemporal junction analysis for motion boundary detection,
ICIP95(III: 468-471).
IEEE DOI 9510
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Niyogi, S.A., Adelson, E.H.,
Analyzing and Recognizing Walking Figures in XYT,
CVPR94(469-474).
IEEE DOI BibRef 9400
And: Vismod-223, 1993.
PS File. BibRef
And:
Analyzing Gait with Spatiotemporal Surfaces,
Vismod-290, 1994.
PS File. Walking Motion. BibRef

Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Walking, Gait Recognition, University of Southampton .


Last update:Nov 11, 2017 at 13:31:57