Gait Identification - A review

Before 2001

Cutting, J., & Kozlowski, L.
Recognizing friends by their walk: Gait perception without familiarity cues
In Bull. Psychon. Soc., Vol. 9, pp. 353–356

Niyogi, S., & Adelson, E.
Analyzing and recognizing walking figures in XYT
In Proceedings of CVPR’94, pp. 469–474

Murase, H., & Sakai, R.
Moving object recognition in eigenspace representation: gait analysis and lip reading
In Pattern Recognition Lett., Vol. 17, No. 2, pp. 155–162

Little, J., & Boyd, J.
Recognizing people by their gait: the shape of motion
In Int. J. of Computer Vision, Vol. 14, No. 6, pp. 83–105

He, Q., & Debrunner, C.
Individual recognition from periodic activity using hidden Markov models
In IEEE Workshop on Human Motion, pp. 47–52

Shutler, J., Nixon, M., & Harris, C.
Statistical gait recognition via velocity moments
In Proc. IEE Colloquium on Visual Biometrics, pp. 10/1–10/5

Marginal Fisher analysis and its variants for human gait recognition and content-based image retrieval
In IEEE Transactions on Image Processing, Vol. 16, No. 11, pp. 2811–2821

Xu, D., Yan, S., Tao, D., Zhang, L., Li, X., & Zhang, H.-J.
Human gait recognition with matrix representation
In IEEE Transactions on Circuits and Systems for Video Technology, Vol. 16, No. 7, pp. 896–903

Abdelkader, C. B., Cutler, R., Nanda, H., & Davis, L.
Eigengait: motion-based recognition using image self-similarity
In Lecture Notes in Computer Science, Vol. 2091, pp. 284–294
Springer-Verlag, Berlin

Cattin, P., Zlatnik, D., & Borer, R.
Sensor fusion for a biometric system using gait
In International Conference on Multisensor Fusion and Integration for Intelligent Systems, pp. 233–238

Bouchrika, I., & Nixon, M.
Exploratory factor analysis of gait recognition
In Proc. of the 8th IEEE International Conference on Automatic Face and Gesture Recognition

Chandrashekhar, V.H., & Venkatesh, K.S.
Action energy images for reliable human action recognition
In Proceedings of ASID'06

Cunado, D., Nash, J.M., Nixon, M.S., & Carter, J.N.
Gait extraction and description by evidence-gathering
In Proceedings of AVBPA'99, pp. 43–48

Cuntoor, N., Kale, A., & Chellappa, R.
Combining multiple evidences for gait recognition
In IEEE Conference on Acoustics, Speech and Signal Processing

Shakhnarovich, G., Lee, L., & Darrell, T.
Integrated face and gait recognition from multiple views
In Proceedings of CVPR’01, pp. 439–446

Gross, R., & Shi, J.
The CMU motion of body (Mobo) database
Tech. Report, Carnegie Mellon University, Pittsburgh, Pennsylvania

Johnson, A.Y., & Bobick, A.F.
A multi-view method for gait recognition using static body parameters
In Proceedings of AVBPA’01, pp. 301–311

Bhanu, B., & Han, J.
Individual recognition by kinematic-based gait analysis
In Proceedings of ICPR02, Vol. 3, pp. 343–346

Collins, R.T., Gross, R., & Shi, J.
Silhouette-based human identification from body shape and gait
In Proceedings of AFGR’02, pp. 351–356

Spencer, N.M., & Carter, J.N.
Viewpoint invariance in automatic gait recognition
In Proc. of AutoID, pp. 1–6

Lee, L., & Grimson, W.
Gait analysis for recognition and classification
In Proceedings of AFGR’02, pp. 155–162

Liu, Y., Collins, R., & Tsin, Y.
Gait sequence analysis using frieze patterns
In Proceedings of ECCV’02, Vol. 2, pp. 657–671

Kale, A., Rajagopalan, A.N., Cuntoor, N., & Kruger, V.
Gait-based recognition of humans using continuous HMMs
In Proceedings of AFGR’02, pp. 321–326

Foster, J.P., Nixon, M.S., & Prgel-Bennett, A.
Automatic gait recognition using area-based metrics
In Pattern Recogn. Lett., Vol. 24, No. 14, pp. 2489–2497

Hayfron-Acquah, J.B., Nixon, M.S., & Carter, J.N.
Automatic gait recognition by symmetry analysis
In Pattern Recogn. Lett., Vol. 24, No. 13, pp. 2175–2183

Wang, L., Tan, T., Ning, H., & Hu, W.
Silhouette analysis-based gait recognition for human identification
In IEEE Trans. PAMI, Vol. 25, No. 12, pp. 1505–1518

Tolliver, D., & Collins, R.
Gait shape estimation for identification
In Proc. of AVBPA’03, pp. 734–742

Vega, I.R., & Sarkar, S.
Representation of the evolution of feature relationship statistics: Human gait-based recognition
In IEEE Trans. PAMI, Vol. 25, No. 10, pp. 1323–1328

Sundaresan, A., Roy-Chowdhury, A.K., & Chellappa, R.
A hidden Markov model based framework for recognition of humans from gait sequences
In Proceedings of ICIP’03, Vol. 2, pp. 93–96

Kale, A., Roy-Chowdhury, A.K., & Chellappa, R.
Towards a view invariant gait recognition algorithm
In Proceedings of AVSBS'03, pp. 143–150

Bissacco, A., Saisan, P., & Soatto, S.
Gait recognition using dynamic affine invariants
In Proc. Int'l Symp. Math. Theory of Networks and Systems MTNS'04

Honggui, L., & Xingguo, L.
Gait analysis using LLE
In Proceedings of ICSP'04

Yam, C., Nixon, M., & Carter, J.
Automated person recognition by walking and running via model-based approaches
In Pattern Recognition, Vol. 37, No. 5, pp. 1057–1072

Urtasun, R., & Fua, P.
3D tracking for gait characterization and recognition
In Tech. Rep. No. IC/2004/04, Swiss Federal Institute of Technology, Lausanne, Switzerland

Elgammal, A., & Lee, C.S.
Separating style and content on a nonlinear manifold
In Proceedings of of IEEE Conference on Computer Vision and Pattern Recognition, Vol. 1, pp. 478–485

Lee, C.-S., & Elgammal, A.
Gait style and gait content: bilinear models for gait recognition using gait re-sampling
In Proceedings of AFGR’04, pp. 147–152

Han, J., & Bhanu, B.
Statistical feature fusion for gait-based human recognition
In Proceedings of CVPR’04, Vol. 2, pp. 842–847

Kale, A., Sunsaresan, A., Rajagopalan, A.N., Cuntoor, N.P., Roy-Chowdhury, A.K., Kruger, V., & Chellappa, R.
Identification of humans using gait
In IEEE Trans. PAMI, Vol. 13, No. 9, pp. 1163–1173

Veres, G., Nixon, M., & Carter, J.
Modeling the time-variant covariates for gait recognition
In Proceedings of AVBPA'05, Lecture Notes in Computer Science, Vol. 3546, pp. 597–606

Sarkar, S., Phillips, P.J., Liu, Z., Vega, I.R., Grother, P., & Bowyer, K.W.
The humanID gait challenge problem: Datasets, performance, and analysis
In IEEE Trans. PAMI, Vol. 27, No. 2, pp. 162–177

Lee, C.-S., & Elgammal, A.
Towards scalable view-invariant gait recognition: Multilinear analysis for gait
In Lecture Notes on Computer Science, Vol. 3546, pp. 395–405

Han, J., & Bhanu, B.
Performance prediction for individual recognition by gait
In Pattern Recognition Letters, Vol. 26, No. 5, pp. 615–624

Han, J., Bhanu, B., & Roy-Chowdhury, A.K.
Study on View-Insensitive Gait Recognition
In Proceedings of ICIP'05, Vol. 3, pp. 297–300

Das, S.R., Wilson, R.C., Lazarewicz, M.T., & Finkel, L.H.
Two-stage PCA extracts spatiotemporal features for gait recognition
In Journal of Multimedia, Vol. 1, No. 5, pp. 9–17

Ekinci, M.
Gait recognition using multiple projections
In Proceedings of the 7th International Conference on Automatic Face and Gesture Recognition, pp. 517–522

Zhao, G., Cui, L., & Li, H.
Gait recognition using fractal scale
In Proceedings of the 18th International Conference on Pattern Recognition (ICPR'06), Vol. 4, pp. 453–456

Zhao, G., Liu, G., Li, H., & Pietikδinen, M.
3D gait recognition using multiple cameras
In Proceedings of the 7th IEEE International Conference on Automatic Face and Gesture Recognition, pp. 529–534

Wang, L.
Abnormal walking gait analysis using silhouette-masked flow histograms
In Proceedings of ICPR'06, Vol. 3, pp. 473–476

Nixon, M.S., & Carter, J.N.
Automatic recognition by gait
In Proceedings of IEEE, Vol. 94, No. 11, pp. 2013–2024

Rogez, G., Guerrero, J.J., Martinez del Rincon, J., Orrite-Uranela, C.
Viewpoint independent human motion analysis in man-made environments
In Proceedings of BMVC'06

Liu, Z.Y., Sarkar, S.
Improved gait recognition by gait dynamics normalization
In IEEE Trans. PAMI, Vol. 28, No. 6, pp. 863–876

Makihara, Y., Sagawa, R., Mukaigawa, Y., Echigo, T., & Yagi, Y.
Gait recognition using a view transformation model in the frequency domain
In Proceedings of ECCV, Vol. 3, pp. 151–163

Kaziska, D., Srivastava, A.
Cyclostationary processes on shape spaces for gait-based recognition
In Proceedings of ECCV'06, Vol. 2, pp. 442–453

Han, J., & Bhanu, B.
Individual recognition using gait energy image
In IEEE Trans. PAMI, Vol. 28, No. 2, pp. 316–322

Zhou, X.L., & Bhanu, B.
Integrating face and gait for human recognition at a distance in video
In IEEE Trans. SMC-B, Vol. 37, No. 5, pp. 1119–1137

Tan, D., Huang, K., Yu, S., & Tan, T.
Uniprojective features for gait recognition
In Proceedings of ICB 2007, Lecture Notes in Computer Science, Vol. 4642, pp. 673–682

Tan, D.L., Huang, K.Q., Yu, S.Q., Tan, T.N.
Orthogonal diagonal projections for gait recognition
In Proceedings of ICIP'07, Vol. 1, pp. 337–340

Tao, D., Li, X., Wu, X., Maybank, S.J.
General tensor discriminant analysis and Gabor features for gait recognition
In IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 29, No. 10, pp. 1700–1715

Lu, J.W., Zhang, E.
Gait recognition for human identification based on ICA and fuzzy SVM through multiple views fusion
In Pattern Recognition Letters, Vol. 28, No. 16, pp. 2401–2411

Ekinci, M., Aykut, M., & Gedikli, E.
Gait recognition by applying multiple projections and kernel PCA
In Proceedings of MLDM 2007, Lecture Notes in Artificial Intelligence, Vol. 4571, pp. 727–741

Gafurov, D.
A survey of biometric gait recognition: Approaches, security and challenges
In Proceedings of NIK-2007

Lam, T.H.W., Lee, R.S.T., & Zhang, D.
Human gait recognition by the fusion of motion and static spatio-temporal templates
In Pattern Recognition, Vol. 40, No. 9, pp. 2563–2573

Nandini, C., & Ravi Kumar, C.N.
Comprehensive framework to gait recognition
In Int. J. Biometrics, Vol. 1, No. 1, pp. 129–137

Li, X.L., Maybank, S.J., Yan, S.J., Tao, D.C., & Xu, D.J.
Gait components and their application to gender recognition
In IEEE Trans. SMC-C, Vol. 38, No. 2, pp. 145–155

Huang, X., & Boulgouris, N.V.
Human gait recognition based on multiview gait sequences
In EURASIP Journal on Advances in Signal Processing

Jafri, R., & Arabnia, H.R.
Fusion of face and gait for automatic human recognition
In Proc. of the Fifth International Conference on Information Technology