Person re-identification based on gait via Part View Transformation Model under variable covariate conditions

Lee, 2002, Gait analysis for recognition and classification, 155 Bedagkar-Gala, 2014, Gait-assisted person re-identification in wide area surveillance, 633 L. Wei, Y. Tian, Y. Wang, T. Huang, Swiss-system based cascade ranking for gait-based person re-identification, in: AAAI, 2015, pp. 1882–1888. Bouchrika, 2018, A survey of using biometrics for smart visual surveillance: Gait recognition, 3 Xing, 2016, Complete canonical correlation analysis with application to multi-view gait recognition, Pattern Recognit., 50, 107, 10.1016/j.patcog.2015.08.011 Connie, 2017, A grassmannian approach to address view change problem in gait recognition, IEEE Trans. Cybern., 47, 1395, 10.1109/TCYB.2016.2545693 Xu, 2018, Multiview max-margin subspace learning for cross-view gait recognition, Pattern Recognit. Lett., 107, 75, 10.1016/j.patrec.2017.10.033 Chtourou, 2017, Semantic attribute classification related to gait, 508 Han, 2006, Individual recognition using gait energy image, IEEE Trans. Pattern Anal. Mach. Intell., 316, 10.1109/TPAMI.2006.38 Kumar, 2014, LBP for gait recognition: A symbolic approach based on GEI plus RBL of GEI, 1 Lee, 2015, Gait recognition with transient binary patterns, J. Vis. Commun. Image Represent., 33, 69, 10.1016/j.jvcir.2015.09.006 A.G. Binsaadoon, E.-S.M. El-Alfy, Gait-based recognition for human identification using fuzzy local binary patterns, in: ICAART, No. 2, 2016, pp. 314–321. Liang, 2016, Gait recognition based on the golden ratio, EURASIP J. Image Video Process., 2016, 22, 10.1186/s13640-016-0126-5 Lishani, 2017, Human gait recognition based on Haralick features, Signal Image Video Process., 11, 1123, 10.1007/s11760-017-1066-y Alotaibi, 2017, Reducing covariate factors of gait recognition using feature selection and dictionary-based sparse coding, Signal Image Video Process., 11, 1131, 10.1007/s11760-017-1067-x Ghebleh, 2018, Clothing-invariant human gait recognition using an adaptive outlier detection method, Multimedia Tools Appl., 1 Xu, 2017, Coupled locality preserving projections for cross-view gait recognition, Neurocomputing, 224, 37, 10.1016/j.neucom.2016.10.054 Bodor, 2009, View-independent human motion classification using image-based reconstruction, Image Vis. Comput., 27, 1194, 10.1016/j.imavis.2008.11.008 Zhao, 2006, 3D gait recognition using multiple cameras, 529 Iwashita, 2010, Person identification from spatio-temporal 3D gait, 30 López-Fernández, 2016, A new approach for multi-view gait recognition on unconstrained paths, J. Vis. Commun. Image Represent., 38, 396, 10.1016/j.jvcir.2016.03.020 López-Fernández, 2016, Independent gait recognition through morphological descriptions of 3D human reconstructions, Image Vis. Comput., 48, 1, 10.1016/j.imavis.2016.01.003 Jean, 2009, Computing and evaluating view-normalized body part trajectories, Image Vis. Comput., 27, 1272, 10.1016/j.imavis.2008.11.009 Goffredo, 2010, Self-calibrating view-invariant gait biometrics, IEEE Trans. Syst. Man Cybern. B, 40, 997, 10.1109/TSMCB.2009.2031091 Kusakunniran, 2013, A new view-invariant feature for cross-view gait recognition, IEEE Trans. Inf. Forensics Secur., 8, 1642, 10.1109/TIFS.2013.2252342 Xu, 2019, Gait recognition based on capsule network, J. Vis. Commun. Image Represent., 59, 159, 10.1016/j.jvcir.2019.01.023 Zheng, 2011, Robust view transformation model for gait recognition, 2073 Kusakunniran, 2010, Support vector regression for multi-view gait recognition based on local motion feature selection, 974 Kusakunniran, 2012, Gait recognition under various viewing angles based on correlated motion regression, IEEE Trans. Circuits Syst. Video Technol., 22, 966, 10.1109/TCSVT.2012.2186744 Makihara, 2006, Gait recognition using a view transformation model in the frequency domain, 151 Muramatsu, 2015, Gait-based person recognition using arbitrary view transformation model, IEEE Trans. Image Process., 24, 140, 10.1109/TIP.2014.2371335 K. Bashir, T. Xiang, S. Gong, Cross view gait recognition using correlation strength, in: Bmvc, 2010, pp. 1–11. Hu, 2013, View-invariant discriminative projection for multi-view gait-based human identification, IEEE Trans. Inf. Forensics Secur., 8, 2034, 10.1109/TIFS.2013.2287605 Liu, 2013, Robust gait recognition via discriminative set matching, J. Vis. Commun. Image Represent., 24, 439, 10.1016/j.jvcir.2013.02.002 Wu, 2018, Feedback weight convolutional neural network for gait recognition, J. Vis. Commun. Image Represent., 55, 424, 10.1016/j.jvcir.2018.06.019 Wu, 2017, A comprehensive study on cross-view gait based human identification with deep cnns, IEEE Trans. Pattern Anal. Mach. Intell., 209, 10.1109/TPAMI.2016.2545669 Li, 2018, Gait recognition via GEI subspace projections and collaborative representation classification, Neurocomputing, 275, 1932, 10.1016/j.neucom.2017.10.049 Kusakunniran, 2009, Multiple views gait recognition using view transformation model based on optimized gait energy image, 1058 Wang, 2003, Silhouette analysis-based gait recognition for human identification, IEEE Trans. Pattern Anal. Mach. Intell., 25, 1505, 10.1109/TPAMI.2003.1251144 Fendri, 2019, Gait based person re-identification under covariate factors, Pattern Anal. Appl., 22, 1629, 10.1007/s10044-019-00793-4 Chtourou, 2018, Walking direction estimation for gait based applications, Procedia Comput. Sci., 126, 759, 10.1016/j.procs.2018.08.010 Yu, 2006, A framework for evaluating the effect of view angle, clothing and carrying condition on gait recognition, 441 Imad, 2017