Cross-view gait recognition through ensemble learning
Gait has been well known as an unobtrusive promising biometric to identify a person from a distance. However, the effectiveness of silhouette-based approaches in gait recognition is diluted due to variations of view angles. In this paper, we put forward a novel and effective method of gait recogniti...
Saved in:
Published in | Neural computing & applications Vol. 32; no. 11; pp. 7275 - 7287 |
---|---|
Main Authors | , |
Format | Journal Article |
Language | English |
Published |
London
Springer London
01.06.2020
Springer Nature B.V |
Subjects | |
Online Access | Get full text |
Cover
Loading…
Abstract | Gait has been well known as an unobtrusive promising biometric to identify a person from a distance. However, the effectiveness of silhouette-based approaches in gait recognition is diluted due to variations of view angles. In this paper, we put forward a novel and effective method of gait recognition: cross-view gait recognition based on ensemble learning. The proposed method greatly enhances the effectiveness and reduces the sensitivity of gait recognition under various view angles conditions. Furthermore, in this paper we will introduce a novel algorithm based on ensemble learning for combining several gait learners together, which utilizes a well-designed gait feature based on area average distance. Through experimental evaluations on the well-known CASIA gait database and OU-ISIR gait database, our paper demonstrates the advantages of the proposed method in comparison with others. The contribution of this research work is to resolve the multiview angles problem of gait recognition through assembling several gait learners. |
---|---|
AbstractList | Gait has been well known as an unobtrusive promising biometric to identify a person from a distance. However, the effectiveness of silhouette-based approaches in gait recognition is diluted due to variations of view angles. In this paper, we put forward a novel and effective method of gait recognition: cross-view gait recognition based on ensemble learning. The proposed method greatly enhances the effectiveness and reduces the sensitivity of gait recognition under various view angles conditions. Furthermore, in this paper we will introduce a novel algorithm based on ensemble learning for combining several gait learners together, which utilizes a well-designed gait feature based on area average distance. Through experimental evaluations on the well-known CASIA gait database and OU-ISIR gait database, our paper demonstrates the advantages of the proposed method in comparison with others. The contribution of this research work is to resolve the multiview angles problem of gait recognition through assembling several gait learners. |
Author | Wang, Xiuhui Yan, Wei Qi |
Author_xml | – sequence: 1 givenname: Xiuhui orcidid: 0000-0003-1773-9760 surname: Wang fullname: Wang, Xiuhui email: wangxiuhui@cjlu.edu.cn organization: China Jiliang University – sequence: 2 givenname: Wei Qi surname: Yan fullname: Yan, Wei Qi organization: Auckland University of Technology |
BookMark | eNp9kM1OwzAQhC1UJNrCC3CKxNmwttd2ckQVfxISFzhbabJJU7VOsVMQfXpcgsSN00q7M7Oab8YmvvfE2KWAawFgbyKAloKDKDig1IYfTthUoFJcgc4nbAoFprNBdcZmMa4BAE2up0wvQh8j_-joM2vLbsgCVX3ru6HrfTasQr9vVxn5SNvlhrINlcF3vj1np025iXTxO-fs7f7udfHIn18enha3z7xSohh4iTXlZKQtSKeNFCjBlgUaKZcCSVQmt7apm1oZ1CJXqO1SiapRqkZhKlRzdjXm7kL_vqc4uHW_Dz69dBLBWigM2KSSo6o6dgnUuF3otmX4cgLcEY8b8biEx_3gcYdkUqMpJrFvKfxF_-P6Bgr5aNE |
CitedBy_id | crossref_primary_10_1007_s12555_020_0463_0 crossref_primary_10_1007_s00170_021_07673_4 crossref_primary_10_1007_s13042_024_02120_8 crossref_primary_10_1049_ipr2_12260 crossref_primary_10_3390_s23104875 crossref_primary_10_1007_s11042_021_11107_4 crossref_primary_10_1007_s12652_020_02503_z crossref_primary_10_1109_TPAMI_2022_3151865 crossref_primary_10_1109_OJCS_2021_3068385 crossref_primary_10_1007_s40998_024_00718_w crossref_primary_10_1109_ACCESS_2023_3320577 crossref_primary_10_32604_cmc_2021_016871 crossref_primary_10_1049_cvi2_12050 crossref_primary_10_1007_s11042_020_09777_7 crossref_primary_10_1109_TCBB_2019_2951146 crossref_primary_10_1007_s11042_020_09935_x crossref_primary_10_3390_s23083809 crossref_primary_10_1007_s11227_021_03768_7 crossref_primary_10_1007_s12652_020_01882_7 |
Cites_doi | 10.1109/AFGR.2002.1004151 10.1109/TCSVT.2014.2305495 10.1109/ICASSP.2016.7472194 10.1007/s11042-017-4903-7 10.1109/TCSVT.2003.821972 10.1109/ICIF.2005.1591994 10.1016/j.patcog.2015.06.016 10.1049/iet-bmt.2014.0042 10.1109/TSMCB.2010.2042166 10.1109/TSMCB.2012.2197823 10.1109/ICIECS.2009.5365329 10.1109/TIP.2011.2180914 10.1080/01691864.2017.1283249 10.1109/LSP.2015.2507200 10.1002/9780470191613 10.1109/TPAMI.2005.39 10.1007/s00521-010-0452-y 10.1111/j.2517-6161.1977.tb01600.x 10.1109/TIFS.2012.2204253 10.1109/TPAMI.2003.1251144 10.1016/j.neucom.2014.10.114 10.1038/nature14539 10.1016/j.patcog.2014.09.022 10.1109/TPAMI.2016.2545669 10.1016/j.patcog.2016.02.004 10.1109/TPAMI.2014.2366766 10.1109/ICIP.2011.6115889 10.1109/ITiME.2012.6291457 10.1109/TIP.2013.2266578 10.1109/TSMCB.2012.2199310 10.1109/LSP.2010.2040927 10.1109/TIP.2014.2371335 10.1109/TCYB.2016.2545693 10.1016/S0031-3203(99)00223-X 10.1109/TNN.2011.2161999 |
ContentType | Journal Article |
Copyright | Springer-Verlag London Ltd., part of Springer Nature 2019 Springer-Verlag London Ltd., part of Springer Nature 2019. |
Copyright_xml | – notice: Springer-Verlag London Ltd., part of Springer Nature 2019 – notice: Springer-Verlag London Ltd., part of Springer Nature 2019. |
DBID | AAYXX CITATION 8FE 8FG AFKRA ARAPS BENPR BGLVJ CCPQU DWQXO HCIFZ P5Z P62 PQEST PQQKQ PQUKI PRINS |
DOI | 10.1007/s00521-019-04256-z |
DatabaseName | CrossRef ProQuest SciTech Collection ProQuest Technology Collection ProQuest Central UK/Ireland Advanced Technologies & Aerospace Collection ProQuest Central Technology Collection ProQuest One Community College ProQuest Central Korea SciTech Premium Collection Advanced Technologies & Aerospace Database ProQuest Advanced Technologies & Aerospace Collection ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Academic ProQuest One Academic UKI Edition ProQuest Central China |
DatabaseTitle | CrossRef Advanced Technologies & Aerospace Collection Technology Collection ProQuest Advanced Technologies & Aerospace Collection ProQuest One Academic Eastern Edition SciTech Premium Collection ProQuest One Community College ProQuest Technology Collection ProQuest SciTech Collection ProQuest Central China ProQuest Central Advanced Technologies & Aerospace Database ProQuest One Academic UKI Edition ProQuest Central Korea ProQuest One Academic |
DatabaseTitleList | Advanced Technologies & Aerospace Collection |
Database_xml | – sequence: 1 dbid: 8FG name: ProQuest Technology Collection url: https://search.proquest.com/technologycollection1 sourceTypes: Aggregation Database |
DeliveryMethod | fulltext_linktorsrc |
Discipline | Computer Science |
EISSN | 1433-3058 |
EndPage | 7287 |
ExternalDocumentID | 10_1007_s00521_019_04256_z |
GrantInformation_xml | – fundername: National Natural Science Foundation of China grantid: 61303146; 61602431 funderid: http://dx.doi.org/10.13039/501100001809 |
GroupedDBID | -4Z -59 -5G -BR -EM -Y2 -~C .4S .86 .DC .VR 06D 0R~ 0VY 123 1N0 1SB 2.D 203 28- 29N 2J2 2JN 2JY 2KG 2LR 2P1 2VQ 2~H 30V 4.4 406 408 409 40D 40E 53G 5QI 5VS 67Z 6NX 8FE 8FG 8TC 8UJ 95- 95. 95~ 96X AAAVM AABHQ AABYN AAFGU AAHNG AAIAL AAJKR AANZL AAOBN AAPBV AARHV AARTL AATNV AATVU AAUYE AAWCG AAWWR AAYFA AAYIU AAYQN AAYTO ABBBX ABBXA ABDBF ABDZT ABECU ABFGW ABFTD ABFTV ABHLI ABHQN ABJNI ABJOX ABKAS ABKCH ABKTR ABLJU ABMNI ABMQK ABNWP ABPTK ABQBU ABSXP ABTEG ABTHY ABTKH ABTMW ABULA ABWNU ABXPI ACBMV ACBRV ACBXY ACBYP ACGFS ACHSB ACHXU ACIGE ACIPQ ACKNC ACMDZ ACMLO ACOKC ACOMO ACSNA ACTTH ACVWB ACWMK ADGRI ADHHG ADHIR ADIMF ADINQ ADKNI ADKPE ADMDM ADOXG ADRFC ADTPH ADURQ ADYFF ADZKW AEBTG AEEQQ AEFIE AEFTE AEGAL AEGNC AEJHL AEJRE AEKMD AENEX AEOHA AEPYU AESKC AESTI AETLH AEVLU AEVTX AEXYK AEYWE AFEXP AFGCZ AFKRA AFLOW AFNRJ AFQWF AFWTZ AFZKB AGAYW AGDGC AGGBP AGGDS AGJBK AGMZJ AGQMX AGWIL AGWZB AGYKE AHAVH AHBYD AHKAY AHSBF AHYZX AIAKS AIIXL AILAN AIMYW AITGF AJBLW AJDOV AJRNO AJZVZ AKQUC ALMA_UNASSIGNED_HOLDINGS ALWAN AMKLP AMXSW AMYLF AMYQR AOCGG ARAPS ARCSS ARMRJ ASPBG AVWKF AXYYD AYJHY AZFZN B-. B0M BA0 BBWZM BDATZ BENPR BGLVJ BGNMA CAG CCPQU COF CS3 CSCUP DDRTE DL5 DNIVK DPUIP DU5 EAD EAP EBLON EBS ECS EDO EIOEI EJD EMI EMK EPL ESBYG EST ESX F5P FEDTE FERAY FFXSO FIGPU FINBP FNLPD FRRFC FSGXE FWDCC GGCAI GGRSB GJIRD GNWQR GQ6 GQ7 GQ8 GXS HCIFZ HF~ HG5 HG6 HMJXF HQYDN HRMNR HVGLF HZ~ I-F I09 IHE IJ- IKXTQ ITM IWAJR IXC IZIGR IZQ I~X I~Z J-C J0Z JBSCW JCJTX JZLTJ KDC KOV KOW LAS LLZTM M4Y MA- N2Q N9A NB0 NDZJH NPVJJ NQJWS NU0 O9- O93 O9G O9I O9J OAM P19 P2P P62 P9O PF0 PT4 PT5 QOK QOS R4E R89 R9I RHV RIG RNI RNS ROL RPX RSV RZK S16 S1Z S26 S27 S28 S3B SAP SCJ SCLPG SCO SDH SDM SHX SISQX SJYHP SNE SNPRN SNX SOHCF SOJ SPISZ SRMVM SSLCW STPWE SZN T13 T16 TSG TSK TSV TUC TUS U2A UG4 UNUBA UOJIU UTJUX UZXMN VC2 VFIZW W23 W48 WK8 YLTOR Z45 Z5O Z7R Z7S Z7V Z7W Z7X Z7Y Z7Z Z81 Z83 Z86 Z88 Z8M Z8N Z8P Z8Q Z8R Z8S Z8T Z8U Z8W Z92 ZMTXR ~8M ~EX AACDK AAEOY AAJBT AASML AAYXX ABAKF ACAOD ACDTI ACZOJ AEFQL AEMSY AFBBN AGQEE AGRTI AIGIU CITATION H13 DWQXO PQEST PQQKQ PQUKI PRINS |
ID | FETCH-LOGICAL-c319t-a4de8e6279e5c31214207a94622b14e1c6877fdfd3645183457b31cf33d416c43 |
IEDL.DBID | BENPR |
ISSN | 0941-0643 |
IngestDate | Thu Oct 10 23:03:43 EDT 2024 Thu Sep 12 20:49:22 EDT 2024 Sat Dec 16 12:03:49 EST 2023 |
IsPeerReviewed | true |
IsScholarly | true |
Issue | 11 |
Keywords | Gait classification Ensemble learning Cross-view Gait recognition |
Language | English |
LinkModel | DirectLink |
MergedId | FETCHMERGED-LOGICAL-c319t-a4de8e6279e5c31214207a94622b14e1c6877fdfd3645183457b31cf33d416c43 |
ORCID | 0000-0003-1773-9760 |
PQID | 2407709607 |
PQPubID | 2043988 |
PageCount | 13 |
ParticipantIDs | proquest_journals_2407709607 crossref_primary_10_1007_s00521_019_04256_z springer_journals_10_1007_s00521_019_04256_z |
PublicationCentury | 2000 |
PublicationDate | 2020-06-01 |
PublicationDateYYYYMMDD | 2020-06-01 |
PublicationDate_xml | – month: 06 year: 2020 text: 2020-06-01 day: 01 |
PublicationDecade | 2020 |
PublicationPlace | London |
PublicationPlace_xml | – name: London – name: Heidelberg |
PublicationTitle | Neural computing & applications |
PublicationTitleAbbrev | Neural Comput & Applic |
PublicationYear | 2020 |
Publisher | Springer London Springer Nature B.V |
Publisher_xml | – name: Springer London – name: Springer Nature B.V |
References | Kusakunniran, Wu, Zhang, Li (CR9) 2012; 42 Connie, Goh, Teoh (CR19) 2017; 47 Epaillard, Bouguila (CR36) 2016; 55 Zhang, Pu, Chen, Fleischer (CR13) 2010; 40 Muramatsu, Makihara, Yagi (CR15) 2015; 4 DaigoMuramatsu, Yagi (CR20) 2016; 47 Aggarwal, Vishwakarma (CR24) 2017; 1 McLachlan, Krishnan (CR40) 2008 Islam, Islam, Hossain, Ferworn, Molla (CR23) 2017; 31 CR38 CR37 Choudhury, Tjahjadi (CR17) 2015; 48 CR11 Kuncheva, Bezdek, Duin (CR32) 2001; 34 Dempster, Laird, Rubin (CR35) 1977; 39 Wang, Ning, Tan, Weiming (CR25) 2004; 14 Zhang, Pu, Chen, Fleischer (CR3) 2010; 40 Rida, Jiang, Luca (CR10) 2016; 23 Zhang, Ji, Huang, Liu (CR30) 2018; 1 CR5 Iwama, Okumura, Makihara, Yagi (CR6) 2012; 7 Wang, Wu, Lin, Zhuo, Huang (CR33) 2016; 188 CR27 CR26 LeCun, Bengio, Hinton (CR29) 2015; 521 Nguyen, Nguyen, Pham, Liew (CR34) 2016; 49 Guan, Li, Roli (CR4) 2015; 37 Hu, Wang, Zhang, Zhang, Little (CR18) 2013; 43 Wu, Huang, Wang, Wang, Tan (CR2) 2017; 39 Boulgouris, Huang (CR22) 2013; 22 Zhang, Liu, Chow, Liu (CR39) 2011; 22 CR21 CR41 Wang, Tan, Ning, Weiming (CR28) 2003; 25 Takemura, Makihara, Muramatsu, Echigo, Yagi (CR31) 2018; 28 Huang, Boulgouris (CR8) 2012; 21 Muramatsu, Shiraishi, Makihara, Uddin, Yagi (CR16) 2015; 24 Moustakas, Tzovaras, Stavropoulos (CR7) 2010; 17 Lai, Xu, Jin, Zhang (CR14) 2014; 24 Wang, Wang, Yan (CR12) 2018; 77 Sarkar, Phillips, Liu (CR1) 2005; 27 W Kusakunniran (4256_CR9) 2012; 42 H Aggarwal (4256_CR24) 2017; 1 H Zhang (4256_CR30) 2018; 1 S Sarkar (4256_CR1) 2005; 27 N Boulgouris (4256_CR22) 2013; 22 4256_CR21 LI Kuncheva (4256_CR32) 2001; 34 X Wang (4256_CR12) 2018; 77 4256_CR41 H Zhang (4256_CR39) 2011; 22 H Iwama (4256_CR6) 2012; 7 4256_CR5 Z Lai (4256_CR14) 2014; 24 D Muramatsu (4256_CR15) 2015; 4 G McLachlan (4256_CR40) 2008 Tien Thanh Nguyen (4256_CR34) 2016; 49 Y Guan (4256_CR4) 2015; 37 4256_CR26 AP Dempster (4256_CR35) 1977; 39 Makihara DaigoMuramatsu (4256_CR20) 2016; 47 4256_CR27 M Islam (4256_CR23) 2017; 31 4256_CR11 Sruti Das Choudhury (4256_CR17) 2015; 48 Y LeCun (4256_CR29) 2015; 521 Konstantinos Moustakas (4256_CR7) 2010; 17 I Rida (4256_CR10) 2016; 23 D Muramatsu (4256_CR16) 2015; 24 T Connie (4256_CR19) 2017; 47 Z Wu (4256_CR2) 2017; 39 X Huang (4256_CR8) 2012; 21 Elise Epaillard (4256_CR36) 2016; 55 Liang Wang (4256_CR25) 2004; 14 Liang Wang (4256_CR28) 2003; 25 J Zhang (4256_CR13) 2010; 40 4256_CR37 M Hu (4256_CR18) 2013; 43 N Takemura (4256_CR31) 2018; 28 Xuan Wang (4256_CR33) 2016; 188 J Zhang (4256_CR3) 2010; 40 4256_CR38 |
References_xml | – volume: 49 start-page: 198 year: 2016 end-page: 212 ident: CR34 article-title: A novel combining classifier method based on variational inference publication-title: Pattern Recognit contributor: fullname: Liew – volume: 47 start-page: 1602 issue: 07 year: 2016 end-page: 1615 ident: CR20 article-title: View transformation model incorporating quality measures for cross-view gait recognition publication-title: IEEE Trans Cybern contributor: fullname: Yagi – ident: CR37 – volume: 23 start-page: 154 issue: 01 year: 2016 end-page: 159 ident: CR10 article-title: Human body part selection by group lasso of motion for model-free gait recognition publication-title: IEEE Signal Process Lett contributor: fullname: Luca – volume: 1 start-page: 1 issue: 1 year: 2018 end-page: 20 ident: CR30 article-title: Sitcom-star-based clothing retrieval for video advertising: a deep learning framework publication-title: Neural Comput Appl contributor: fullname: Liu – volume: 40 start-page: 986 issue: 4 year: 2010 end-page: 996 ident: CR3 article-title: Low-resolution gait recognition publication-title: IEEE Trans Syst Man Cybern Part B (Cybernetics) contributor: fullname: Fleischer – volume: 188 start-page: 151 issue: SI year: 2016 end-page: 159 ident: CR33 article-title: Pedestrian identification based on fusion of multiple features and multiple classifiers publication-title: Neurocomputing contributor: fullname: Huang – volume: 39 start-page: 209 issue: 02 year: 2017 end-page: 226 ident: CR2 article-title: A comprehensive study on cross-view gait based human identification with deep CNNs publication-title: IEEE Trans Pattern Anal Mach Intell contributor: fullname: Tan – volume: 22 start-page: 3636 issue: 09 year: 2013 end-page: 3647 ident: CR22 article-title: Gait recognition using HMMs and dual discriminative observations for sub-dynamics analysis publication-title: IEEE Trans Image Process contributor: fullname: Huang – volume: 47 start-page: 1395 issue: 06 year: 2017 end-page: 1408 ident: CR19 article-title: A grassmannian approach to address view change problem in gait recognition publication-title: IEEE Trans Cybern contributor: fullname: Teoh – volume: 77 start-page: 12545 issue: 10 year: 2018 end-page: 12561 ident: CR12 article-title: Gait recognition based on Gabor wavelets and (2D)2PCA publication-title: Multimed Tools Appl contributor: fullname: Yan – volume: 521 start-page: 436 issue: 5 year: 2015 end-page: 445 ident: CR29 article-title: Deep learning publication-title: Nature contributor: fullname: Hinton – ident: CR27 – volume: 28 start-page: 316 issue: 1 year: 2018 end-page: 322 ident: CR31 article-title: On input/output architectures for convolutional neural network-based cross-view gait recognition publication-title: IEEE Trans Circuits Syst Video Technol contributor: fullname: Yagi – volume: 7 start-page: 1511 issue: 5 year: 2012 end-page: 1521 ident: CR6 article-title: The OU-ISIR gait database comprising the large population dataset and performance evaluation of gait recognition publication-title: IEEE Trans Inf Forensics Secur contributor: fullname: Yagi – volume: 42 start-page: 1654 issue: 6 year: 2012 end-page: 1668 ident: CR9 article-title: Gait recognition across various walking speeds using higher order shape configuration based on a differential composition model publication-title: IEEE Trans Syst Man Cybern Part B (Cybernetics) contributor: fullname: Li – volume: 17 start-page: 367 issue: 04 year: 2010 end-page: 370 ident: CR7 article-title: Gait recognition using geometric features and soft biometrics publication-title: IEEE Signal Process Lett contributor: fullname: Stavropoulos – ident: CR21 – volume: 24 start-page: 140 issue: 1 year: 2015 end-page: 154 ident: CR16 article-title: Gait-based person recognition using arbitrary view transformation model publication-title: IEEE Trans Image Process contributor: fullname: Yagi – volume: 24 start-page: 1651 issue: 10 year: 2014 end-page: 1662 ident: CR14 article-title: Human gait recognition via sparse discriminant projection learning publication-title: IEEE Trans Circuits Syst Video Technol contributor: fullname: Zhang – volume: 4 start-page: 62 issue: 2 year: 2015 end-page: 73 ident: CR15 article-title: Cross-view gait recognition by fusion of multiple transformation consistency measures publication-title: IET Biom contributor: fullname: Yagi – volume: 27 start-page: 162 issue: 02 year: 2005 end-page: 177 ident: CR1 article-title: The humanID gait challenge problem: data sets, performance, and analysis publication-title: IEEE Trans Pattern Anal Mach Intell contributor: fullname: Liu – volume: 43 start-page: 77 issue: 1 year: 2013 end-page: 89 ident: CR18 article-title: Incremental learning for video-based gait recognition with LBP flow publication-title: IEEE Trans Cybern contributor: fullname: Little – volume: 22 start-page: 1532 issue: 10 year: 2011 end-page: 1546 ident: CR39 article-title: Textual and visual content-based anti-phishing: a bayesian approach publication-title: IEEE Trans Neural Netw contributor: fullname: Liu – volume: 31 start-page: 519 issue: 10 year: 2017 end-page: 530 ident: CR23 article-title: Subband entropy-based features for clothing invariant human gait recognition publication-title: Adv Robot contributor: fullname: Molla – volume: 37 start-page: 1521 issue: 07 year: 2015 end-page: 1529 ident: CR4 article-title: On reducing the effect of covariate factors in gait recognition: a classifier ensemble method publication-title: IEEE Trans Pattern Anal Mach Intell contributor: fullname: Roli – ident: CR38 – volume: 39 start-page: 1 issue: 1 year: 1977 end-page: 22 ident: CR35 article-title: Maximum likelihood from incomplete data via the EM algorithm publication-title: R Stat Soc contributor: fullname: Rubin – year: 2008 ident: CR40 publication-title: The EM algorithm and extensions contributor: fullname: Krishnan – ident: CR11 – volume: 25 start-page: 1505 issue: 12 year: 2003 end-page: 1518 ident: CR28 article-title: Silhouette analysis-based gait recognition for human identification publication-title: IEEE Trans Pattern Anal Mach Intell contributor: fullname: Weiming – volume: 48 start-page: 798 issue: 03 year: 2015 end-page: 811 ident: CR17 article-title: Robust view-invariant multiscale gait recognition publication-title: Pattern Recognit contributor: fullname: Tjahjadi – volume: 34 start-page: 299 issue: 2 year: 2001 end-page: 314 ident: CR32 article-title: Decision templates for multiple classifier fusion: an experimental comparison publication-title: Pattern Recognit contributor: fullname: Duin – ident: CR5 – volume: 21 start-page: 2256 issue: 04 year: 2012 end-page: 2268 ident: CR8 article-title: Gait recognition with shifted energy image and structural feature extraction publication-title: IEEE Trans Image Process contributor: fullname: Boulgouris – volume: 1 start-page: 1 issue: 99 year: 2017 end-page: 1 ident: CR24 article-title: Covariate conscious approach for gait recognition based upon zernike moment invariants publication-title: IEEE Trans Cogn Dev Syst contributor: fullname: Vishwakarma – ident: CR41 – ident: CR26 – volume: 55 start-page: 125 year: 2016 end-page: 136 ident: CR36 article-title: Proportional data modeling with hidden Markov models based on generalized Dirichlet and Beta-Liouville mixtures applied to anomaly detection in public areas publication-title: Pattern Recognit contributor: fullname: Bouguila – volume: 40 start-page: 986 issue: 04 year: 2010 end-page: 997 ident: CR13 article-title: Low-resolution gait recognition publication-title: IEEE Trans Syst Man Cybern Part B Cybern contributor: fullname: Fleischer – volume: 14 start-page: 149 issue: 2 year: 2004 end-page: 158 ident: CR25 article-title: Fusion of static and dynamic body biometrics for gait recognition publication-title: IEEE Trans Circuits Syst Video Technol contributor: fullname: Weiming – ident: 4256_CR38 doi: 10.1109/AFGR.2002.1004151 – volume: 24 start-page: 1651 issue: 10 year: 2014 ident: 4256_CR14 publication-title: IEEE Trans Circuits Syst Video Technol doi: 10.1109/TCSVT.2014.2305495 contributor: fullname: Z Lai – ident: 4256_CR21 doi: 10.1109/ICASSP.2016.7472194 – ident: 4256_CR26 – volume: 77 start-page: 12545 issue: 10 year: 2018 ident: 4256_CR12 publication-title: Multimed Tools Appl doi: 10.1007/s11042-017-4903-7 contributor: fullname: X Wang – volume: 14 start-page: 149 issue: 2 year: 2004 ident: 4256_CR25 publication-title: IEEE Trans Circuits Syst Video Technol doi: 10.1109/TCSVT.2003.821972 contributor: fullname: Liang Wang – ident: 4256_CR27 doi: 10.1109/ICIF.2005.1591994 – volume: 49 start-page: 198 year: 2016 ident: 4256_CR34 publication-title: Pattern Recognit doi: 10.1016/j.patcog.2015.06.016 contributor: fullname: Tien Thanh Nguyen – ident: 4256_CR5 – volume: 4 start-page: 62 issue: 2 year: 2015 ident: 4256_CR15 publication-title: IET Biom doi: 10.1049/iet-bmt.2014.0042 contributor: fullname: D Muramatsu – volume: 28 start-page: 316 issue: 1 year: 2018 ident: 4256_CR31 publication-title: IEEE Trans Circuits Syst Video Technol contributor: fullname: N Takemura – volume: 1 start-page: 1 issue: 99 year: 2017 ident: 4256_CR24 publication-title: IEEE Trans Cogn Dev Syst contributor: fullname: H Aggarwal – volume: 40 start-page: 986 issue: 4 year: 2010 ident: 4256_CR3 publication-title: IEEE Trans Syst Man Cybern Part B (Cybernetics) doi: 10.1109/TSMCB.2010.2042166 contributor: fullname: J Zhang – volume: 42 start-page: 1654 issue: 6 year: 2012 ident: 4256_CR9 publication-title: IEEE Trans Syst Man Cybern Part B (Cybernetics) doi: 10.1109/TSMCB.2012.2197823 contributor: fullname: W Kusakunniran – ident: 4256_CR37 doi: 10.1109/ICIECS.2009.5365329 – volume: 21 start-page: 2256 issue: 04 year: 2012 ident: 4256_CR8 publication-title: IEEE Trans Image Process doi: 10.1109/TIP.2011.2180914 contributor: fullname: X Huang – volume: 31 start-page: 519 issue: 10 year: 2017 ident: 4256_CR23 publication-title: Adv Robot doi: 10.1080/01691864.2017.1283249 contributor: fullname: M Islam – volume: 23 start-page: 154 issue: 01 year: 2016 ident: 4256_CR10 publication-title: IEEE Signal Process Lett doi: 10.1109/LSP.2015.2507200 contributor: fullname: I Rida – volume-title: The EM algorithm and extensions year: 2008 ident: 4256_CR40 doi: 10.1002/9780470191613 contributor: fullname: G McLachlan – volume: 27 start-page: 162 issue: 02 year: 2005 ident: 4256_CR1 publication-title: IEEE Trans Pattern Anal Mach Intell doi: 10.1109/TPAMI.2005.39 contributor: fullname: S Sarkar – volume: 1 start-page: 1 issue: 1 year: 2018 ident: 4256_CR30 publication-title: Neural Comput Appl doi: 10.1007/s00521-010-0452-y contributor: fullname: H Zhang – volume: 39 start-page: 1 issue: 1 year: 1977 ident: 4256_CR35 publication-title: R Stat Soc doi: 10.1111/j.2517-6161.1977.tb01600.x contributor: fullname: AP Dempster – volume: 7 start-page: 1511 issue: 5 year: 2012 ident: 4256_CR6 publication-title: IEEE Trans Inf Forensics Secur doi: 10.1109/TIFS.2012.2204253 contributor: fullname: H Iwama – volume: 25 start-page: 1505 issue: 12 year: 2003 ident: 4256_CR28 publication-title: IEEE Trans Pattern Anal Mach Intell doi: 10.1109/TPAMI.2003.1251144 contributor: fullname: Liang Wang – volume: 188 start-page: 151 issue: SI year: 2016 ident: 4256_CR33 publication-title: Neurocomputing doi: 10.1016/j.neucom.2014.10.114 contributor: fullname: Xuan Wang – volume: 521 start-page: 436 issue: 5 year: 2015 ident: 4256_CR29 publication-title: Nature doi: 10.1038/nature14539 contributor: fullname: Y LeCun – volume: 48 start-page: 798 issue: 03 year: 2015 ident: 4256_CR17 publication-title: Pattern Recognit doi: 10.1016/j.patcog.2014.09.022 contributor: fullname: Sruti Das Choudhury – volume: 39 start-page: 209 issue: 02 year: 2017 ident: 4256_CR2 publication-title: IEEE Trans Pattern Anal Mach Intell doi: 10.1109/TPAMI.2016.2545669 contributor: fullname: Z Wu – volume: 40 start-page: 986 issue: 04 year: 2010 ident: 4256_CR13 publication-title: IEEE Trans Syst Man Cybern Part B Cybern doi: 10.1109/TSMCB.2010.2042166 contributor: fullname: J Zhang – volume: 55 start-page: 125 year: 2016 ident: 4256_CR36 publication-title: Pattern Recognit doi: 10.1016/j.patcog.2016.02.004 contributor: fullname: Elise Epaillard – volume: 37 start-page: 1521 issue: 07 year: 2015 ident: 4256_CR4 publication-title: IEEE Trans Pattern Anal Mach Intell doi: 10.1109/TPAMI.2014.2366766 contributor: fullname: Y Guan – volume: 47 start-page: 1602 issue: 07 year: 2016 ident: 4256_CR20 publication-title: IEEE Trans Cybern contributor: fullname: Makihara DaigoMuramatsu – ident: 4256_CR41 doi: 10.1109/ICIP.2011.6115889 – ident: 4256_CR11 doi: 10.1109/ITiME.2012.6291457 – volume: 22 start-page: 3636 issue: 09 year: 2013 ident: 4256_CR22 publication-title: IEEE Trans Image Process doi: 10.1109/TIP.2013.2266578 contributor: fullname: N Boulgouris – volume: 43 start-page: 77 issue: 1 year: 2013 ident: 4256_CR18 publication-title: IEEE Trans Cybern doi: 10.1109/TSMCB.2012.2199310 contributor: fullname: M Hu – volume: 17 start-page: 367 issue: 04 year: 2010 ident: 4256_CR7 publication-title: IEEE Signal Process Lett doi: 10.1109/LSP.2010.2040927 contributor: fullname: Konstantinos Moustakas – volume: 24 start-page: 140 issue: 1 year: 2015 ident: 4256_CR16 publication-title: IEEE Trans Image Process doi: 10.1109/TIP.2014.2371335 contributor: fullname: D Muramatsu – volume: 47 start-page: 1395 issue: 06 year: 2017 ident: 4256_CR19 publication-title: IEEE Trans Cybern doi: 10.1109/TCYB.2016.2545693 contributor: fullname: T Connie – volume: 34 start-page: 299 issue: 2 year: 2001 ident: 4256_CR32 publication-title: Pattern Recognit doi: 10.1016/S0031-3203(99)00223-X contributor: fullname: LI Kuncheva – volume: 22 start-page: 1532 issue: 10 year: 2011 ident: 4256_CR39 publication-title: IEEE Trans Neural Netw doi: 10.1109/TNN.2011.2161999 contributor: fullname: H Zhang |
SSID | ssj0004685 |
Score | 2.3831835 |
Snippet | Gait has been well known as an unobtrusive promising biometric to identify a person from a distance. However, the effectiveness of silhouette-based approaches... |
SourceID | proquest crossref springer |
SourceType | Aggregation Database Publisher |
StartPage | 7275 |
SubjectTerms | Algorithms Artificial Intelligence Computational Biology/Bioinformatics Computational Science and Engineering Computer Science Data Mining and Knowledge Discovery Ensemble learning Gait recognition Image Processing and Computer Vision Machine learning Original Article Probability and Statistics in Computer Science |
SummonAdditionalLinks | – databaseName: SpringerLINK - Czech Republic Consortium dbid: AGYKE link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV07T8MwED5Bu7BQnqJQkAc2cNXEdpyMVdVSgWBqpTJFdmJXCEgRpEt_PbbrtDyHrklkJWdf7r57fAdwaWyQlMYPxolWElMVBTgWBrjKQBtlUpLlLnRx_xANx_R2wibrPm5X7F5lJN2PetXrZgOYFvnaWL6x03ixDXVmCb9qUO_ePN71v7RDukmcBrjYoh5KfK_M36t8t0drJ_NHXtSZm0EDRlXTzrLK5Lk9L2U7W_zmcNzkS_Zg17ufqLs8L_uwpYoDaFSjHZDX9ENgPfu22OYN0FQ8lWhVaDQrkJ_tgwwCVq_yRSE_emJ6BONBf9QbYj9hAWdG9UosaK5iFYU8UcxcsfRrHS4SGoWhDKgKsijmXOc6t8lKo_yUcUmCTBOSG0cuo-QYasWsUCeASMBkLCjpiA61rPVJzkSsZagE1ZxGtAlXlZzTtyWRRrqiTHYSSY1EUieRdNGEVrUVqVeqj9SCT24hF2_CdSXa9e3_Vzvd7PEz2AktqnaxlhbUyve5OjeuRykv_FH7BKNTzfc priority: 102 providerName: Springer Nature |
Title | Cross-view gait recognition through ensemble learning |
URI | https://link.springer.com/article/10.1007/s00521-019-04256-z https://www.proquest.com/docview/2407709607 |
Volume | 32 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV3NS8MwFH-47eLFb3E6Rw7eNLi2adOeZI59oDhEHMxTSdp0DLSbrl7215uXpZsKek0hkF_68r7fD-BC6yAptR1Mo0xJylTg0FBox1U6mRYmJf3UhC4ehsFgxO7G_tgG3Ba2rLJ8E81Dnc4SjJFfo-fB0d7mN_N3iqxRmF21FBoVqLkOwzRt7bY7fHz61hlpSDm1D4P1PcyzbTOmeQ4jouhKY3JAK366_KmaNvbmrxSp0Ty9PdixJiNpr-54H7ZUfgC7JR0DsdJ5CH4Ht6V4DjIR04Ksi4NmObF8PER7repNvipi6SImRzDqdZ87A2pZEWiixaWggqUqVIHLI-XrFRyZ1uIiYoHrSocpJwlCzrM0SzHBqAWW-Vx6TpJ5XqoRSph3DNV8lqsTIJ7jy1AwryVaDCfNR6kvwky6SrCMs4DV4bIEJJ6vhl_E6zHHBr5Ywxcb-OJlHRolZrEVhEW8ubY6XJU4bj7_vdvp_7udwbaLnq-JhzSgWnx8qnNtHhSyCZWw129Crd1_ue827R-hV0du-wu62bkB |
link.rule.ids | 315,786,790,12792,21416,27955,27956,33406,33777,41114,41556,42183,42625,43633,43838,52144,52267 |
linkProvider | ProQuest |
linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV3NT8IwFH9RPOjFbyOK2oM3bWRrt24nY4iICpwg4dasW0dMdKDMC3-9faUDNdHrljTpr3193-8HcGl0kFLGDqZxrhXlOvRolBjHVXm5ESatgsyGLnr9sDPkT6Ng5AJuM1dWWb2J9qHOJinGyG_Q8xBob4vb6TtF1ijMrjoKjXXY4CxkeM-j9sO3vkhLyWk8GKzu4cw1zdjWOYyHoiONqQGj9un8p2JaWZu_EqRW77R3YdsZjORuccJ7sKaLfdipyBiIk80DCFq4LMVdkHHyUpJladCkII6NhxifVb-pV00cWcT4EIbt-0GrQx0nAk2NsJQ04ZmOdOiLWAfmCw5Ma4ok5qHvK49rLw0jIfIszzC9aMSVB0IxL80Zy4zplXJ2BLViUuhjIMwLVJRw1kyaHOfMx1mQRLnydcJzwUNeh6sKEDldjL6QyyHHFj5p4JMWPjmvQ6PCTDoxmMnVodXhusJx9fvv1U7-X-0CNjuDXld2H_vPp7Dlow9sIyMNqJUfn_rMGAqlOre34QvrRbcl |
linkToPdf | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV3NT8IwFH9RSIwX8TOiqD140yLbunU7EgRRlHiQBE9Lu7XEqIPouPDX224dINGD8botzfbW1_d-7-P3AM6VDeJc-cE4kIJjIjwL-0wBV25JpUyCu3EWunjoe90BuRu6w6Uu_qzavUhJ5j0NmqUpSa8msbyaN77paKaGwTqwr4w2nq1DmSi1JSUoN2-ee-2l3shsLKdCMbrChzimcebnVb4bp4XHuZIkzWxPpwKseOu85OS1Pk15PZqtEDr-57O2Ycs4pqiZ76QdWBPJLlSKoQ_InAF74Lb0q2OdUUAj9pKieQnSOEFm6g9S2Fi88zeBzFCK0T4MOu2nVheb2Qs4UkqZYkZi4QvPpoFw1RVNzNagLCCebXOLCCvyfEplLGOdxlTHAnEpd6xIOk6sXLyIOAdQSsaJOATkWC73GXEarEE0n30Qu8yX3BaMSEo8UoWLQujhJKfYCOdkyplEQiWRMJNIOKtCrfgvoVG3z1DDUqrBGK3CZSHmxe3fVzv62-NnsPF43Qnvb_u9Y9i0NfTOAjI1KKUfU3Gi_JOUn5ot-AWqwNqm |
openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Cross-view+gait+recognition+through+ensemble+learning&rft.jtitle=Neural+computing+%26+applications&rft.au=Wang+Xiuhui&rft.au=Yan+Wei+Qi&rft.date=2020-06-01&rft.pub=Springer+Nature+B.V&rft.issn=0941-0643&rft.eissn=1433-3058&rft.volume=32&rft.issue=11&rft.spage=7275&rft.epage=7287&rft_id=info:doi/10.1007%2Fs00521-019-04256-z |
thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0941-0643&client=summon |
thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0941-0643&client=summon |
thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0941-0643&client=summon |