17.1.3.5.4 Human ID Using Gait, Recognition of People Through Gait

Chapter Contents (Back)
Human Recognition. Biometrics. Gait Recognition.

Nixon, M.S.[Mark S.], Tan, T.N.[Tie-Niu], Chellappa, R.[Rama],
Human Identification Based on Gait,
Springer2006, ISBN 978-0-387-24424-2.
WWW Link. Subjects Allied to Gait. Gait Databases. Early Recognition Approaches. Silhouette-Based Approaches. Model-Based Approaches. Further Gait Developments Buy this book: Human Identification Based on Gait (International Series on Biometrics) BibRef 0600

Baseline Algorithm and Performance for Gait Based Human ID Challenge Problem,
2004, USF.
WWW Link. Dataset, Gait. Code, Gait.

Nixon, M.S., Carter, J.N.,
Automatic Recognition by Gait,
PIEEE(94), No. 11, November 2006, pp. 2013-2024.
IEEE DOI 0611
Survey, Gait. BibRef

Little, J.J.[James J.], and Boyd, J.E.[Jeffrey E.],
Recognizing People by Their Gait: The Shape of Motion,
Videre(1), No. 2, Winter 1998, pp. xx-yy. Analyze optic flow for periodic structure.
HTML Version.
PDF File. BibRef 9800
Earlier: A2, A1:
Phase in Model-Free Perception of Gait,
HUMO00(3-10).
IEEE Top Reference. 0010
BibRef
Earlier: A2, A1:
Shape of Motion and the Perception of Human Gaits,
EEMCV98(xx). BibRef
And: EEMTV98(xx) BibRef

Little, J.J.[James J.], and Boyd, J.E.[Jeffrey E.],
Describing Motion for Recognition,
SCV95(235-240).
IEEE DOI University of British Columbia. BibRef 9500

Huang, P.S., Harris, C.J., Nixon, M.S.,
Human gait recognition in canonical space using temporal templates,
VISP(146), No. 2, April 1999, pp. 93. BibRef 9904
Earlier:
A statistical approach for recognizing humans by gait using spatial-temporal templates,
ICIP98(III: 178-182).
IEEE DOI 9810
BibRef
And:
Comparing Different Template Features for Recognizing People by their Gait,
BMVC98(xx-yy). BibRef

Cunado, D.[David], Nixon, M.S.[Mark S.], Carter, J.N.[John N.],
Automatic extraction and description of human gait models for recognition purposes,
CVIU(90), No. 1, April 2003, pp. 1-41.
Elsevier DOI 0306
BibRef

Nixon, M.S.[Mark S.],
Keynote lecture 3: On gait and soft biometrics for surveillance,
AVSS13(XVIII-XVIII)
IEEE DOI 1311
biometrics (access control) BibRef

Yam, C.Y.[Chew-Yean], Nixon, M.S.[Mark S.], Carter, J.N.[John N.],
Automated person recognition by walking and running via model-based approaches,
PR(37), No. 5, May 2004, pp. 1057-1072.
Elsevier DOI 0405
BibRef
Earlier:
On the relationship of human walking and running: Automatic person identification by gait,
ICPR02(I: 287-290).
IEEE DOI 0211
BibRef
Earlier:
Extended Model-Based Automatic Gait Recognition of Walking and Running,
AVBPA01(278).
Springer DOI 0310
BibRef

Veres, G.V., Gordon, L., Carter, J.N., Nixon, M.S.,
What image information is important in silhouette-based gait recognition?,
CVPR04(II: 776-782).
IEEE DOI 0408
BibRef

Veres, G.V.[Galina V.], Nixon, M.S.[Mark S.], Carter, J.N.[John N.],
Model-Based Approaches for Predicting Gait Changes over Time,
IWBRS05(213).
Springer DOI 0601
BibRef
And:
Modelling the Time-Variant Covariates for Gait Recognition,
AVBPA05(597).
Springer DOI 0509
BibRef

Yam, C.Y.[Chew-Yean], Nixon, M.S., Carter, J.N.,
Performance analysis on new biometric gait motion model,
Southwest02(31-34).
IEEE Top Reference. 0208
BibRef

Prismall, S.P.[Stuart P.], Nixon, M.S.[Mark S.], Carter, J.N.[John N.],
Novel Temporal Views of Moving Objects for Gait Biometrics,
AVBPA03(725-733).
Springer DOI 0310
BibRef

Yoo, J.H.[Jang-Hee], Nixon, M.S.[Mark S.],
Feature Extraction and Selection for Recognizing Humans by Their Gait,
ISVC06(II: 156-165).
Springer DOI 0611
BibRef

Shutler, J.D., Nixon, M.S.,
Zernike velocity moments for sequence-based description of moving features,
IVC(24), No. 4, 1 April 2006, pp. 343-356.
Elsevier DOI Statistical moments; Zernike moments; Motion; Velocity moments; Gait 0606
BibRef
Earlier:
Zernike Velocity Moments for Description and Recognition of Moving Shapes,
BMVC01(Session 8: Modelling Behaviour).
HTML Version. University of Southampton 0110
BibRef

Grant, M.G., Shutler, J.D., Nixon, M.S., Carter, J.N.,
Analysis of a human extraction system for deploying gait biometrics,
Southwest04(46-50).
IEEE DOI 0411
BibRef

Yoo, J.H.[Jang-Hee], Hwang, D.[Doosung], Moon, K.Y.[Ki-Young], Nixon, M.S.[Mark S.],
Automated Human Recognition by Gait using Neural Network,
IPTA08(1-6).
IEEE DOI 0811
BibRef

Goffredo, M.[Michela], Bouchrika, I., Carter, J.N.[John N.], Nixon, M.S.[Mark S.],
Self-Calibrating View-Invariant Gait Biometrics,
SMC-B(40), No. 4, August 2010, pp. 997-1008.
IEEE DOI 1008
BibRef

Carey, M.J., Tattersall, G.D., Lloyd-Thomas, H., Russell, M.J.,
Inferring identity from user behaviour,
VISP(150), No. 6, December 2003, pp. 383-388.
IEEE Abstract. 0402
BibRef

Wang, L.[Liang], Tan, T.N.[Tie-Niu], Hu, W.M.[Wei-Ming], Ning, H.Z.[Hua-Zhong],
Automatic gait recognition based on statistical shape analysis,
IP(12), No. 9, September 2003, pp. 1120-1131.
IEEE DOI 0308
BibRef
Earlier: A1, A4, A3, A2:
Gait recognition based on procrustes shape analysis,
ICIP02(III: 433-436).
IEEE DOI 0210
BibRef

Wang, L.[Liang], Tan, T.N.[Tie-Niu], Ning, H.Z.[Hua-Zhong], Hu, W.M.[Wei-Ming],
Silhouette analysis-based gait recognition for human identification,
PAMI(25), No. 12, December 2003, pp. 1505-1518.
IEEE Abstract. 0401
Background subtraction and correspondens to track figure. PCA applied to distance signals for the sequence. BibRef

Wang, L.[Liang], Ning, H.Z.[Hua-Zhong], Tan, T.N.[Tie-Niu], Hu, W.M.[Wei-Ming],
Fusion of Static and Dynamic Body Biometrics for Gait Recognition,
CirSysVideo(14), No. 2, February 2004, pp. 149-158.
IEEE Abstract. 0403
BibRef
Earlier: ICCV03(1449-1454).
IEEE DOI 0311
BibRef

Wang, L.[Liang],
Abnormal Walking Gait Analysis Using Silhouette-Masked Flow Histograms,
ICPR06(III: 473-476).
IEEE DOI 0609
BibRef

Kale, A., Sundaresan, A., Rajagopalan, A.N., Cuntoor, N.P., Roy Chowdhury, A.K., Kruger, V., Chellappa, R.,
Identification of Humans Using Gait,
IP(13), No. 9, September 2004, pp. 1163-1173.
IEEE DOI 0409
BibRef

Sundaresan, A., Chellappa, R., Roy Chowdhury, A.K.,
Multiple view tracking of humans modelled by kinematic chains,
ICIP04(II: 1009-1012).
IEEE DOI 0505
BibRef

Sundaresan, A., Roy Chowdhury, A.K., Chellappa, R.,
A hidden markov model based framework for recognition of humans from gait sequences,
ICIP03(II: 93-96).
IEEE DOI 0312
BibRef

Han, J.[Ju], Bhanu, B., Roy-Chowdhury, A.K.,
A Study on View-Insensitive Gait Recognition,
ICIP05(III: 297-300).
IEEE DOI 0512
BibRef

Kale, A., Roy Chowdhury, A.K., Chellappa, R.,
Towards a view invariant gait recognition algorithm,
AVSBS03(143-150).
IEEE DOI 0310
BibRef

Kale, A., Cuntoor, N.P., Yegnanarayana, B., Rajagopalan, A.N., Chellappa, R.,
Gait Analysis for Human Identification,
AVBPA03(706-714).
Springer DOI 0310
BibRef

Kale, A., Rajagopalan, A.N., Cuntoor, N.P., Kruger, V.,
Gait-based recognition of humans using continuous HMMs,
AFGR02(321-326).
IEEE DOI 0206
BibRef

Green, R.D., Guan, L.,
Quantifying and Recognizing Human Movement Patterns From Monocular Video Images: Part I: A New Framework for Modeling Human Motion,
CirSysVideo(14), No. 2, February 2004, pp. 179-190.
IEEE Abstract. 0403
BibRef

Green, R.D., Guan, L.,
Quantifying and Recognizing Human Movement Patterns From Monocular Video Images: Part II: Applications to Biometrics,
CirSysVideo(14), No. 2, February 2004, pp. 191-198.
IEEE Abstract. 0403
BibRef

Green, R.D., Guan, L.,
Continuous human activity recognition,
ICARCV04(I: 706-711).
IEEE DOI 0412
BibRef

Soriano, M.N.[Maricor N.], Araullo, A.[Alessandra], Saloma, C.A.[Caesar A.],
Curve spreads: A biometric from front-view gait video,
PRL(25), No. 14, 15 October 2004, pp. 1595-1602.
Elsevier DOI 0410
BibRef

Balista, J.A.F.[Junius Andre F.], Soriano, M.N.[Maricor N.], Saloma, C.A.[Caesar A.],
Compact time-independent pattern representation of entire human gait cycle for tracking of gait irregularities,
PRL(31), No. 1, 1 January 2010, pp. 20-27.
Elsevier DOI 1001
Human gait; Gait analysis; Gait imaging; Human motion capture; Gait data compression BibRef

Sarkar, S., Phillips, P.J., Liu, Z.Y.[Zong-Yi], Vega, I.R., Grother, P.J., Bowyer, K.W.,
The HumanID Gait Challenge Problem: Data Sets, Performance, and Analysis,
PAMI(27), No. 2, February 2005, pp. 162-177.
IEEE Abstract. 0501
BibRef

Phillips, P.J., Sarkar, S., Robledo, I., Grother, P.J., Bowyer, K.W.,
The gait identification challenge problem: data sets and baseline algorithm,
ICPR02(I: 385-388).
IEEE DOI 0211
BibRef
And:
Baseline results for the challenge problem of human ID using gait analysis,
AFGR02(130-135).
IEEE DOI 0206
BibRef

Godil, A., Grother, P.J., Ressler, S.,
Human identification from body shape,
3DIM03(386-392).
IEEE DOI 0311
BibRef

Liu, Z.Y.[Zong-Yi], Sarkar, S.[Sudeep],
Effect of silhouette quality on hard problems in gait recognition,
SMC-B(35), No. 2, April 2005, pp. 170-183.
IEEE DOI 0508
BibRef
Earlier:
Simplest representation yet for gait recognition: averaged silhouette,
ICPR04(IV: 211-214).
IEEE DOI 0409
BibRef

Liu, Z.Y.[Zong-Yi], Sarkar, S.[Sudeep],
Improved Gait Recognition by Gait Dynamics Normalization,
PAMI(28), No. 6, June 2006, pp. 863-876.
IEEE DOI 0605
Gait shape and dynamics for gait base biometrics. BibRef

Liu, Z.Y.[Zong-Yi], Malave, L., Sarkar, S.,
Studies on silhouette quality and gait recognition,
CVPR04(II: 704-711).
IEEE DOI 0408
BibRef

Liu, Z.Y.[Zong-Yi], Sarkar, S.[Sudeep],
Outdoor recognition at a distance by fusing gait and face,
IVC(25), No. 6, 1 June 2007, pp. 817-832.
Elsevier DOI 0704
Gait recognition; Face recognition; Biometrics fusion BibRef

Han, J.[Ju], Bhanu, B.[Bir],
Performance prediction for individual recognition by gait,
PRL(26), No. 5, April 2005, pp. 615-624.
Elsevier DOI 0501
BibRef
And:
Gait Recognition by Combining Classifiers Based on Environmental Contexts,
AVBPA05(416).
Springer DOI 0509
BibRef
Earlier:
Statistical feature fusion for gait-based human recognition,
CVPR04(II: 842-847).
IEEE DOI 0408
BibRef

Zhou, X.L.[Xiao-Li], Bhanu, B.[Bir],
Integrating Face and Gait for Human Recognition at a Distance in Video,
SMC-B(37), No. 5, October 2007, pp. 1119-1137.
IEEE DOI 0711
BibRef
Earlier:
Feature Fusion of Face and Gait for Human Recognition at a Distance in Video,
ICPR06(IV: 529-532).
IEEE DOI 0609
BibRef
And:
Integrating Face and Gait for Human Recognition,
Biometrics06(55).
IEEE DOI 0609
BibRef

Zhou, X.L.[Xiao-Li], Bhanu, B.[Bir], Han, J.[Ju],
Human Recognition at a Distance in Video by Integrating Face Profile and Gait,
AVBPA05(533).
Springer DOI 0509

See also Human Recognition Based on Face Profiles in Video. BibRef

Han, J.[Ju], Bhanu, B.[Bir],
Fusion of color and infrared video for moving human detection,
PR(40), No. 6, June 2007, pp. 1771-1784.
Elsevier DOI 0704
BibRef
Earlier:
Human Activity Recognition in Thermal Infrared Imagery,
OTCBVS05(III: 17-17).
IEEE DOI 0507
Sensor fusion; Image registration; Human silhouette extraction; Color image sequence; Thermal image sequence; Genetic algorithm BibRef

Bhanu, B.[Bir], Han, J.[Ju],
Human Recognition on Combining Kinematic and Stationary Features,
AVBPA03(600-608).
Springer DOI 0310
BibRef
Earlier:
Bayesian-based performance prediction for gait recognition,
Motion02(145-150).
IEEE DOI 0303
BibRef
And:
Kinematic-based human motion analysis in infrared sequences,
WACV02(208-212).
IEEE DOI 0303
BibRef

Han, J.[Ju], Bhanu, B.,
Individual Recognition Using Gait Energy Image,
PAMI(28), No. 2, February 2006, pp. 316-322.
IEEE DOI 0601
BibRef
Earlier: A2, A1:
Individual recognition by kinematic-based gait analysis,
ICPR02(III: 343-346).
IEEE DOI 0211
BibRef

Zhou, X.L.[Xiao-Li], Bhanu, B.[Bir],
Feature fusion of side face and gait for video-based human identification,
PR(41), No. 3, March 2008, pp. 778-795.
Elsevier DOI 0711
Face recognition; Gait recognition; Multibiometrics fusion; Video based recognition at a distance BibRef

Zhang, R.[Rong], Vogler, C.[Christian], Metaxas, D.N.[Dimitris N.],
Human gait recognition at sagittal plane,
IVC(25), No. 3, March 2007, pp. 321-330.
Elsevier DOI 0701
BibRef
Earlier:
Human Gait Recognition,
Non-Rigid04(18).
IEEE DOI 0502
Gait recognition; Biometrics; Human motion analysis; Human identification; Hidden Markov model 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.
Elsevier DOI 0805
BibRef
Earlier: Motion07(11-11).
IEEE DOI 0702
Nonlinear dimension reduction (NLDR); Gaussian process latent variable model (GP-LVM); Manifold learning; Hidden Markov model (HMM) BibRef

Huang, Y.[Yi], Xu, D.[Dong], Cham, T.J.[Tat-Jen],
Face and Human Gait Recognition Using Image-to-Class Distance,
CirSysVideo(20), No. 3, March 2010, pp. 431-438.
IEEE DOI 1003
BibRef

Huang, Y.[Yi], Xu, D.[Dong], Nie, F.P.[Fei-Ping],
Patch Distribution Compatible Semisupervised Dimension Reduction for Face and Human Gait Recognition,
CirSysVideo(22), No. 3, March 2012, pp. 479-488.
IEEE DOI 1203
BibRef
Earlier:
Regularized Trace Ratio Discriminant Analysis with Patch Distribution Feature for human gait recognition,
ICIP10(2449-2452).
IEEE DOI 1009
BibRef

Geng, X.[Xin], Smith-Miles, K.[Kate], Wang, L.[Liang], Li, M.[Ming], Wu, Q.A.[Qi-Ang],
Context-aware fusion: A case study on fusion of gait and face for human identification in video,
PR(43), No. 10, October 2010, pp. 3660-3673.
Elsevier DOI 1007
Multi-biometric fusion; Context-awareness; Human identification; Face recognition; Gait recognition BibRef

Goffredo, M.[Michela], Spencer, N.[Nicholas], Pearce, D.[Daniel], Carter, J.N.[John N.], Nixon, M.S.[Mark S.],
Human Perambulation as a Self Calibrating Biometric,
AMFG07(139-153).
Springer DOI 0710
BibRef

Ran, Y.[Yang], Zheng, Q.F.[Qin-Fen], Chellappa, R., Strat, T.M.,
Applications of a Simple Characterization of Human Gait in Surveillance,
SMC-B(40), No. 4, August 2010, pp. 1009-1020.
IEEE DOI 1008
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.
Elsevier DOI 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 0601
BibRef
And:
Human Identification by Using the Motion and Static Characteristic of Gait,
ICPR06(III: 996-999).
IEEE DOI 0609
BibRef

Lam, T.H.W.[Toby H.W.], Cheung, K.H., Liu, J.N.K.[James N.K.],
Gait flow image: A silhouette-based gait representation for human identification,
PR(44), No. 4, April 2011, pp. 973-987.
Elsevier DOI 1101
Gait representation; Gait recognition; Gait flow image; Biometrics BibRef

Wuhrer, S.[Stefanie], Shu, C.[Chang], Xi, P.C.[Peng-Cheng],
Landmark-free posture invariant human shape correspondence,
VC(27), No. 9, September 2011, pp. 843-852.
WWW Link. 1109
BibRef

Boisvert, J.[Jonathan], Shu, C.[Chang], Wuhrer, S.[Stefanie], Xi, P.C.[Peng-Cheng],
Three-dimensional human shape inference from silhouettes: reconstruction and validation,
MVA(24), No. 1, January 2013, pp. 145-157.
WWW Link. 1301
BibRef

Roy, A.[Aditi], Sural, S.[Shamik], Mukherjee, J.[Jayanta], Rigoll, G.[Gerhard],
Occlusion detection and gait silhouette reconstruction from degraded scenes,
SIViP(5), No. 4, November 2011, pp. 415-430.
WWW Link. 1111
BibRef

Gafurov, D.[Davrondzhon], Bours, P.[Patrick], Snekkenes, E.[Einar],
User authentication based on foot motion,
SIViP(5), No. 4, November 2011, pp. 457-467.
WWW Link. 1111
BibRef
Earlier: A1, A3, Only:
Towards understanding the uniqueness of gait biometric,
FG08(1-8).
IEEE DOI 0809
BibRef

Aqmar, M.R.[Muhammad Rasyid], Shinoda, K.[Koichi], Furui, S.[Sadaoki],
Robust Gait-Based Person Identification against Walking Speed Variations,
IEICE(E95-D), No. 2, February 2012, pp. 668-676.
WWW Link. 1202
BibRef
Earlier:
Robust Gait Recognition Against Speed Variation,
ICPR10(2190-2193).
IEEE DOI 1008
BibRef

Iwashita, Y.[Yumi], Stoica, A.[Adrian], Kurazume, R.[Ryo],
Gait identification using shadow biometrics,
PRL(33), No. 16, 1 December 2012, pp. 2148-2155.
Elsevier DOI 1210
BibRef
Earlier:
Person Identification using Shadow Analysis,
BMVC10(xx-yy).
HTML Version. 1009
BibRef
Earlier:
People identification using shadow dynamics,
ICIP10(2453-2456).
IEEE DOI 1009
Shadow biometrics; Gait; Person identification; Spherical harmonics BibRef

Wang, C.[Chen], Zhang, J.P.[Jun-Ping], Wang, L.[Liang], Pu, J.[Jian], Yuan, X.R.[Xiao-Ru],
Human Identification Using Temporal Information Preserving Gait Template,
PAMI(34), No. 11, November 2012, pp. 2164-2176.
IEEE DOI 1209
BibRef
Earlier: A1, A2, A4, A5, A3:
Chrono-Gait Image: A Novel Temporal Template for Gait Recognition,
ECCV10(I: 257-270).
Springer DOI 1009
Gait Energy Image partly works. Add temporal information. Contour in each frame, encode gait contour images. BibRef

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 0911
BibRef
Earlier:
Multilinear Tensor-Based Non-parametric Dimension Reduction for Gait Recognition,
ICB09(1030-1039).
Springer DOI 0906
BibRef

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 1008
BibRef

Choudhury, S.D.[Sruti Das], Tjahjadi, T.[Tardi],
Silhouette-based gait recognition using Procrustes shape analysis and elliptic Fourier descriptors,
PR(45), No. 9, September 2012, pp. 3414-3426.
Elsevier DOI 1206
Gait recognition; Human identification; Procrustes shape analysis; Elliptic Fourier descriptor; Silhouette; Nearest neighbour classifier; Classifier combination; Hu moments BibRef

Choudhury, S.D.[Sruti Das], Tjahjadi, T.[Tardi],
Gait recognition based on shape and motion analysis of silhouette contours,
CVIU(117), No. 12, 2013, pp. 1770-1785.
Elsevier DOI 1310
Gait BibRef

Choudhury, S.D.[Sruti Das], Tjahjadi, T.[Tardi],
Robust view-invariant multiscale gait recognition,
PR(48), No. 3, 2015, pp. 798-811.
Elsevier DOI 1412
Gait recognition BibRef

Choudhury, S.D.[Sruti Das], Tjahjadi, T.[Tardi],
Clothing and carrying condition invariant gait recognition based on rotation forest,
PRL(80), No. 1, 2016, pp. 1-7.
Elsevier DOI 1609
Gait BibRef

Iosifidis, A.[Alexandros], Tefas, A.[Anastasios], Pitas, I.[Ioannis],
Dynamic action recognition based on dynemes and Extreme Learning Machine,
PRL(34), No. 15, 2013, pp. 1890-1898.
Elsevier DOI 1309
BibRef
And:
Active classification for human action recognition,
ICIP13(3249-3253)
IEEE DOI 1402
BibRef
Earlier:
Discriminant action representation for view-invariant person identification,
ICIP12(1177-1180).
IEEE DOI 1302
Activity recognition BibRef

Iosifidis, A.[Alexandros], Tefas, A.[Anastastios], Pitas, I.[Ioannis],
Minimum Class Variance Extreme Learning Machine for Human Action Recognition,
CirSysVideo(23), No. 11, 2013, pp. 1968-1979.
IEEE DOI 1312
feedforward neural nets BibRef

Iosifidis, A.[Alexandros], Tefas, A.[Anastastios], Pitas, I.[Ioannis],
Discriminant Bag of Words based representation for human action recognition,
PRL(49), No. 1, 2014, pp. 185-192.
Elsevier DOI 1410
BibRef
And:
Human action recognition based on bag of features and multi-view neural networks,
ICIP14(1510-1514)
IEEE DOI 1502
Databases. Bag of Words BibRef

Krestenitis, M.[Marios], Passalis, N.[Nikolaos], Iosifidis, A.[Alexandros], Gabbouj, M.[Moncef], Tefas, A.[Anastasios],
Human Action Recognition Using Recurrent Bag-of-features Pooling,
IMTA20(63-76).
Springer DOI 2103
BibRef

Iosifidis, A.[Alexandros], Tefas, A.[Anastasios], Pitas, I.[Ioannis],
Merging linear discriminant analysis with Bag of Words model for human action recognition,
ICIP15(832-836)
IEEE DOI 1512
Bag of Words; Discriminant Learning BibRef

Iosifidis, A.[Alexandros], Gabbouj, M.[Moncef],
Combining multi-class maximum margin classification with linear discriminant analysis for human action recognition,
ICIP16(4180-4184)
IEEE DOI 1610
Histograms BibRef

Iosifidis, A.[Alexandros], Tefas, A.[Anastasios],
Deep Learning for Visual Content Analysis,
SP:IC(83), 2020, pp. 115806.
Elsevier DOI 2003
BibRef

Iosifidis, A.[Alexandros], Tefas, A.[Anastastios], Pitas, I.[Ioannis],
On the kernel Extreme Learning Machine classifier,
PRL(54), No. 1, 2015, pp. 11-17.
Elsevier DOI 1502
Extreme learning machine BibRef

Mygdalis, V.[Vasileios], Iosifidis, A.[Alexandros], Tefas, A.[Anastasios], Pitas, I.[Ioannis],
Graph Embedded One-Class Classifiers for media data classification,
PR(60), No. 1, 2016, pp. 585-595.
Elsevier DOI 1609
Media data classification BibRef

Gkalelis, N.[Nikolaos], Tefas, A.[Anastasios], Pitas, I.[Ioannis],
Human identification from human movements,
ICIP09(2585-2588).
IEEE DOI 0911
BibRef

Gomez-Caballero, F.[Felipe], Shinozaki, T.[Takahiro], Furui, S.[Sadaoki], Shinoda, K.[Koichi],
A statistical approach for person verification using human behavioral patterns,
JIVP(2013), No. 1, 2013, pp. xx-yy.
DOI Link 1309
BibRef
And:
Statistical Person Verification Using Behavioral Patterns from Complex Human Motion,
SBA13(550-558).
Springer DOI 1309
Not simply gait. Other features. BibRef

Ngo, T.T.[Thanh Trung], Makihara, Y.S.[Yasu-Shi], Nagahara, H.[Hajime], Mukaigawa, Y.[Yasuhiro], Yagi, Y.S.[Yasu-Shi],
The largest inertial sensor-based gait database and performance evaluation of gait-based personal authentication,
PR(47), No. 1, 2014, pp. 228-237.
Elsevier DOI 1310
Gait-based owner authentication BibRef

Aqmar, M.R.[Muhammad Rasyid], Fujihara, Y.[Yusuke], Makihara, Y.S.[Yasu-Shi], Yagi, Y.S.[Yasu-Shi],
Gait recognition by fluctuations,
CVIU(126), No. 1, 2014, pp. 38-52.
Elsevier DOI 1407
BibRef
Earlier: A3, A2, A4, Only:
Can gait fluctuations improve gait recognition?,
ICPR12(3276-3279).
WWW Link. 1302
Gait recognition BibRef

Hasan, M.[Mohamed], Makihara, Y.S.[Yasu-Shi], Muramatsu, D.[Daigo], Yagi, Y.S.[Yasu-Shi],
Gait Gate: An Online Walk-Through Multimodal Biometric Verification System Using a Single RGB-D Sensor,
HIS16(III: 330-344).
Springer DOI 1704
BibRef

Makihara, Y.S.[Yasu-Shi], Suzuki, A., Muramatsu, D.[Daigo], Li, X.[Xiang], Yagi, Y.S.[Yasu-Shi],
Joint Intensity and Spatial Metric Learning for Robust Gait Recognition,
CVPR17(6786-6796)
IEEE DOI 1711
Clothing, Gait recognition, Histograms, Measurement, Probes, Robustness, Support, vector, machines BibRef

Li, X.[Xiang], Makihara, Y.S.[Yasu-Shi], Xu, C.[Chi], Muramatsu, D.[Daigo], Yagi, Y.S.[Yasu-Shi], Ren, M.[Mingwu],
Gait Energy Response Function for Clothing-Invariant Gait Recognition,
ACCV16(II: 257-272).
Springer DOI 1704
BibRef

Muramatsu, D.[Daigo], Makihara, Y.S.[Yasu-Shi], Iwama, H., Tanoue, T., Yagi, Y.S.[Yasu-Shi],
Gait Verification System for Supporting Criminal Investigation,
ACPR13(747-748)
IEEE DOI 1408
criminal law BibRef

Makihara, Y.S.,
Towards Robust Gait Recognition,
ACPR13(18-22)
IEEE DOI 1408
biometrics (access control) BibRef

Bhowmick, S.[Soumabha], Nandy, A.[Anup], Chakraborty, P.[Pavan], Nandi, G.C.,
A speed invariant human identification system using gait biometrics,
IJCVR(4), No. 1-2, 2014, pp. 3-22.
DOI Link 1403
BibRef

Lynnerup, N., Larsen, P.K.,
Gait as evidence,
IET-Bio(3), No. 2, June 2014, pp. 47-54.
DOI Link 1407
BibRef

Fotiadou, E.[Eftychia], Nikolaidis, N.[Nikos],
Activity-based methods for person recognition in motion capture sequences,
PRL(49), No. 1, 2014, pp. 48-54.
Elsevier DOI 1410
BibRef
And:
A correspondence based method for activity recognition in human skeleton motion sequences,
ICIP14(1500-1504)
IEEE DOI 1502
Person recognition BibRef

Muramatsu, D., Shiraishi, A., Makihara, Y., Uddin, M.Z., Yagi, Y.,
Gait-Based Person Recognition Using Arbitrary View Transformation Model,
IP(24), No. 1, January 2015, pp. 140-154.
IEEE DOI 1502
feature extraction BibRef

Arora, P.[Parul], Hanmandlu, M.[Madasu], Srivastava, S.[Smriti],
Gait based authentication using gait information image features,
PRL(68, Part 2), No. 1, 2015, pp. 336-342.
Elsevier DOI 1512
Gait cycle BibRef

Chattopadhyay, P.[Pratik], Sural, S.[Shamik], Mukherjee, J.[Jayanta],
Information fusion from multiple cameras for gait-based re-identification and recognition,
IET-IPR(9), No. 11, 2015, pp. 969-976.
DOI Link 1511

See also Frontal gait recognition from occluded scenes. feature extraction BibRef

Xing, X.L.[Xiang-Lei], Wang, K.[Kejun], Lv, Z.W.[Zhuo-Wen],
Fusion of Gait and Facial Features using Coupled Projections for People Identification at a Distance,
SPLetters(22), No. 12, December 2015, pp. 2349-2353.
IEEE DOI 1512
face recognition BibRef

San-Segundo, R.[Rubén], Cordoba, R.[Ricardo], Ferreiros, J.[Javier], d'Haro-Enríquez, L.F.[Luis Fernando],
Frequency features and GMM-UBM approach for gait-based person identification using smartphone inertial signals,
PRL(73), No. 1, 2016, pp. 60-67.
Elsevier DOI 1604
Feature extraction BibRef

Darwish, S.M.[Saad Mohamed],
Design of adaptive biometric gait recognition algorithm with free walking directions,
IET-Bio(6), No. 2, March 2017, pp. 53-60.
DOI Link 1703
BibRef

Atta, R.[Randa], Shaheen, S.[Samir], Ghanbari, M.[Mohammad],
Human identification based on temporal lifting using 5/3 wavelet filters and radon transform,
PR(69), No. 1, 2017, pp. 213-224.
Elsevier DOI 1706
Gait recognition BibRef

Mansouri, N.[Nabila], Issa, M.A.[Mohammed Aouled], Ben Jemaa, Y.[Yousra],
Gait features fusion for efficient automatic age classification,
IET-CV(12), No. 1, February 2018, pp. 69-75.
DOI Link 1801
BibRef

Mansouri, N.[Nabila], Issa, M.A.[Mohammed Aouled], Ben Jemaa, Y.[Yousra],
Gait-based human age classification using a silhouette model,
IET-Bio(7), No. 2, March 2018, pp. 116-124.
DOI Link 1802
BibRef

Connor, P.[Patrick], Ross, A.[Arun],
Biometric recognition by gait: A survey of modalities and features,
CVIU(167), 2018, pp. 1-27.
Elsevier DOI 1804
Gait biometrics, Gait recognition, Features, Silhouette, Ground reaction force, Covariates BibRef

Chang, J.Y.[Ju Yong], Park, J.Y.[Ji Young],
Person Identification Using Pose-Based Hough Forests from Skeletal Action Sequence,
IEICE(E101-D), No. 3, March 2018, pp. 767-777.
WWW Link. 1804
BibRef

El-Alfy, H.[Hazem], Mitsugami, I.[Ikuhisa], Yagi, Y.S.[Yasu-Shi],
Gait Recognition Based on Normal Distance Maps,
Cyber(48), No. 5, May 2018, pp. 1526-1539.
IEEE DOI 1804
BibRef
Earlier:
A New Gait-Based Identification Method Using Local Gauss Maps,
Gait14(I: 3-18).
Springer DOI 1504
Feature extraction, Gait recognition, Hidden Markov models, Legged locomotion, Robustness, Shape, Transforms, multiresolution BibRef

Deng, M.Q.[Mu-Qing], Wang, C.[Cong], Zheng, T.J.[Tong-Jia],
Individual identification using a gait dynamics graph,
PR(83), 2018, pp. 287-298.
Elsevier DOI 1808
Gait representation, Gait recognition, Gait dynamics graph, Biometrics BibRef

Chi, W., Wang, J., Meng, M.Q.,
A Gait Recognition Method for Human Following in Service Robots,
SMCS(48), No. 9, September 2018, pp. 1429-1440.
IEEE DOI 1809
feature extraction, gait analysis, image recognition, image segmentation, service robots, static trajectory features, RGB-D camera BibRef

Higashiguchi, T.[Tsuyoshi], Ukita, N.[Norimichi], Kanbara, M.[Masayuki], Hagita, N.[Norihiro],
Individuality-Preserving Gait Pattern Prediction Based on Gait Feature Transitions,
IEICE(E101-D), No. 10, October 2018, pp. 2501-2508.
WWW Link. 1810
BibRef

Zhou, Y., Huang, Y., Hu, Q., Wang, L.,
Kernel-Based Semantic Hashing for Gait Retrieval,
CirSysVideo(28), No. 10, October 2018, pp. 2742-2752.
IEEE DOI 1811
Videos, Semantics, Surveillance, Kernel, Cameras, Clothing, Lighting, Gait biometric, kernel function, semantic hashing, video retrieval BibRef

Kamitani, T.[Takuya], Yoshimura, H.[Hiroki], Nishiyama, M.[Masashi], Iwai, Y.[Yoshio],
Temporal and Spatial Analysis of Local Body Sway Movements for the Identification of People,
IEICE(E102-D), No. 1, January 2019, pp. 165-174.
WWW Link. 1901
BibRef

Wan, C.S.[Chang-Sheng], Wang, L.[Li], Phoha, V.V.[Vir V.],
A Survey on Gait Recognition,
Surveys(51), No. 5, January 2019, pp. Article No 89.
DOI Link 1902
Survey, Gait Recognition. Recognition by gait. BibRef

Zhang, Y.Q.[Yu-Qi], Huang, Y.Z.[Yong-Zhen], Wang, L.[Liang], Yu, S.Q.[Shi-Qi],
A comprehensive study on gait biometrics using a joint CNN-based method,
PR(93), 2019, pp. 228-236.
Elsevier DOI 1906
Gait recognition, Soft biometrics, Joint learning, Network visualization BibRef

Liang, J.H.[Jun-Hao], Fan, C.[Chao], Hou, S.[Saihui], Shen, C.F.[Chuan-Fu], Huang, Y.Z.[Yong-Zhen], Yu, S.Q.[Shi-Qi],
GaitEdge: Beyond Plain End-to-End Gait Recognition for Better Practicality,
ECCV22(V:375-390).
Springer DOI 2211
BibRef

Nambiar, A.[Athira], Bernardino, A.[Alexandre], Nascimento, J.C.[Jacinto C.],
Gait-based Person Re-identification: A Survey,
Surveys(51), No. 1, February 2019, pp. Article No 33.
DOI Link 1906
Survey, Gait. Survey, Re-Identification. BibRef

Thapar, D.[Daksh], Jaswal, G.[Gaurav], Nigam, A.[Aditya], Arora, C.[Chetan],
Gait metric learning siamese network exploiting dual of spatio-temporal 3D-CNN intra and LSTM based inter gait-cycle-segment features,
PRL(125), 2019, pp. 646-653.
Elsevier DOI 1909
Gait biometrics, Deep learning, 3-D Convolutional neural network, LSTM, Siamese BibRef

Song, C.F.[Chun-Feng], Huang, Y.Z.[Yong-Zhen], Huang, Y.[Yan], Jia, N.[Ning], Wang, L.[Liang],
GaitNet: An end-to-end network for gait based human identification,
PR(96), 2019, pp. 106988.
Elsevier DOI 1909
Gait recognition, Video-based human identification, End-to-end CNN, Joint learning BibRef

Su, Y.[Yong], An, S.[Simin], Feng, Z.Y.[Zhi-Yong], Xing, M.[Meng], Zhang, J.H.[Jian-Hai],
Spatio-temporal metric learning for individual recognition from locomotion,
JVCIR(67), 2020, pp. 102753.
Elsevier DOI 2004
Individual recognition, Riemannian motion features, Spatio-Temporal Large Margin Nearest Neighbor (ST-LMNN), Spatio-Temporal Multi-Metric Learning (STMM) BibRef

Xing, M.[Meng], Feng, Z.Y.[Zhi-Yong], Su, Y.[Yong], Peng, W.L.[Wei-Long], Zhang, J.H.[Jian-Hai],
Ventral and Dorsal Stream Theory based Zero-Shot Action Recognition,
PR(116), 2021, pp. 107953.
Elsevier DOI 2106
VD-ZSAR, Ventral & Dorsal Stream Theory, Nonlinear similarity metric learning mechanism BibRef

Qi, C.[Cheng], Feng, Z.Y.[Zhi-Yong], Xing, M.[Meng], Su, Y.[Yong], Zheng, J.Q.[Jin-Qing], Zhang, Y.M.[Yi-Ming],
Energy-Based Temporal Summarized Attentive Network for Zero-Shot Action Recognition,
MultMed(25), 2023, pp. 1940-1953.
IEEE DOI 2306
Correlation, Semantics, Visualization, Feature extraction, Training, Task analysis, Adaptation models, Zero-shot action recognition, saliency detection BibRef

Bekhouch, A.[Amara], Bouchrika, I.[Imed], Doghmane, N.[Nouredine],
Gait biometrics: investigating the use of the lower inner regions for people identification from landmark frames,
IET-Bio(9), No. 6, November 2020, pp. 269-277.
DOI Link 2010
BibRef

Kumar, M.[Munish], Singh, N.[Navdeep], Kumar, R.[Ravinder], Goel, S.[Shubham], Kumar, K.[Krishan],
Gait recognition based on vision systems: A systematic survey,
JVCIR(75), 2021, pp. 103052.
Elsevier DOI 2103
Gait recognition, Surveillance, Biometric, Person identification BibRef

Sheng, W.J.[Wei-Jie], Li, X.D.[Xin-De],
Multi-task learning for gait-based identity recognition and emotion recognition using attention enhanced temporal graph convolutional network,
PR(114), 2021, pp. 107868.
Elsevier DOI 2103
Gait recognition, Gait emotion recognition, Graph convolutional network, Spatial-temporal attention GCN, Multi-task learning network BibRef

Chtourou, I.[Imen], Fendri, E.[Emna], Hammami, M.[Mohamed],
Person re-identification based on gait via Part View Transformation Model under variable covariate conditions,
JVCIR(77), 2021, pp. 103093.
Elsevier DOI 2106
Re-identification, Gait, Part View Transformation Model (PVTM), View angle variation, Covariate factors BibRef

Giorgi, G.[Giacomo], Saracino, A.[Andrea], Martinelli, F.[Fabio],
Using recurrent neural networks for continuous authentication through gait analysis,
PRL(147), 2021, pp. 157-163.
Elsevier DOI 2106
Deep learning, Gait analysis, Continuous authentication, Behavioral analysis, Biometrics BibRef

Rashmi, M., Guddeti, R.M.R.[Ram Mohana Reddy],
Human identification system using 3D skeleton-based gait features and LSTM model,
JVCIR(82), 2022, pp. 103416.
Elsevier DOI 2201
Biometric, Deep learning, Gait recognition, Human identification, Long Short Term Memory (LSTM), Smart surveillance BibRef

Tran, L.[Lam], Nguyen, T.[Thuc], Kim, H.[Hyunil], Choi, D.[Deokjai],
Security and privacy enhanced smartphone-based gait authentication with random representation learning and digital lockers,
PR(129), 2022, pp. 108765.
Elsevier DOI 2206
Gait authentication, Biometric template protection, Biometric cryptosystems, Gait recognition, Key binding scheme, Biometric key generation BibRef

Delgado-Santos, P.[Paula], Tolosana, R.[Ruben], Guest, R.[Richard], Vera-Rodriguez, R.[Ruben], Deravi, F.[Farzin], Morales, A.[Aythami],
GaitPrivacyON: Privacy-preserving mobile gait biometrics using unsupervised learning,
PRL(161), 2022, pp. 30-37.
Elsevier DOI 2209
Privacy preserving, Sensitive data, Gait verification, Mobile sensors, Biometrics BibRef

Yang, Y.[Yang], Yang, X.Y.[Xiao-Yi], Sakamoto, T.[Takuya], Fioranelli, F.[Francesco], Li, B.[Beichen], Lang, Y.[Yue],
Unsupervised Domain Adaptation for Disguised-Gait-Based Person Identification on Micro-Doppler Signatures,
CirSysVideo(32), No. 9, September 2022, pp. 6448-6460.
IEEE DOI 2209
Radar, Task analysis, Adaptation models, Radar measurements, Wearable sensors, Gait recognition, Wireless fidelity, unsupervised domain adaptation BibRef

Jin, X.[Xin], He, T.Y.[Tian-Yu], Zheng, K.[Kecheng], Yin, Z.H.[Zhi-Heng], Shen, X.[Xu], Huang, Z.[Zhen], Feng, R.[Ruoyu], Huang, J.Q.[Jian-Qiang], Chen, Z.B.[Zhi-Bo], Hua, X.S.[Xian-Sheng],
Cloth-Changing Person Re-identification from A Single Image with Gait Prediction and Regularization,
CVPR22(14258-14267)
IEEE DOI 2210
Training, Representation learning, Regulators, Surveillance, Semantics, Streaming media, Benchmark testing, Vision applications and systems BibRef

Zhao, Y.[Yang], Wang, X.L.[Xin-Long], Yu, X.H.[Xiao-Han], Liu, C.L.[Chun-Lei], Gao, Y.S.[Yong-Sheng],
Gait-Assisted Video Person Retrieval,
CirSysVideo(33), No. 2, February 2023, pp. 897-908.
IEEE DOI 2302
Feature extraction, Video sequences, Gait recognition, Streaming media, Convolutional neural networks, Visualization, knowledge distillation BibRef

Parashar, A.[Anubha], Parashar, A.[Apoorva], Ding, W.P.[Wei-Ping], Shabaz, M.[Mohammad], Rida, I.[Imad],
Data preprocessing and feature selection techniques in gait recognition: A comparative study of machine learning and deep learning approaches,
PRL(172), 2023, pp. 65-73.
Elsevier DOI 2309
Gait biometrics, Pattern recognition, Deep learning, Machine learning BibRef

Parashar, A.[Anubha], Parashar, A.[Apoorva], Abate, A.F.[Andrea F.], Shekhawat, R.S.[Rajveer Singh], Rida, I.[Imad],
Real-time gait biometrics for surveillance applications: A review,
IVC(138), 2023, pp. 104784.
Elsevier DOI 2310
Gait recognition, Biometrics, Deep learning, Vision-based, Real-time surveillance BibRef

Delgado-Santos, P.[Paula], Tolosana, R.[Ruben], Guest, R.[Richard], Deravi, F.[Farzin], Vera-Rodriguez, R.[Ruben],
Exploring transformers for behavioural biometrics: A case study in gait recognition,
PR(143), 2023, pp. 109798.
Elsevier DOI 2310
Biometrics, Behavioural biometrics, Gait recognition, Deep learning, Transformers, Mobile devices BibRef

Wang, Z.B.[Zeng-Bin], Hou, S.[Saihui], Zhang, M.[Man], Liu, X.[Xu], Cao, C.S.[Chun-Shui], Huang, Y.Z.[Yong-Zhen],
GaitParsing: Human Semantic Parsing for Gait Recognition,
MultMed(26), 2024, pp. 4736-4748.
IEEE DOI 2403
Gait recognition, Semantics, Feature extraction, Task analysis, Adaptation models, Legged locomotion, Torso, Gait recognition, partial features BibRef

Nesarkar, A.[Aadi], Shah, V.[Veer], Dhiraj,
Machine Learning Based Framework for Human Recognition Using Gait Pattern Analysis,
ICCVMI23(1-6)
IEEE DOI 2403
Biometrics (access control), Biological system modeling, Manuals, Feature extraction, Vectors, Skeleton, Pattern recognition, handcrafted feature extraction BibRef

Guo, Y.X.[Yu-Xiang], Peng, C.[Cheng], Lau, C.P.[Chun Pong], Chellappa, R.[Rama],
Multi-Modal Human Authentication Using Silhouettes, Gait and RGB,
FG23(1-7)
IEEE DOI 2303
Training, Legged locomotion, Image recognition, Shape, Face recognition, Authentication, Gesture recognition BibRef