Items related to Gait Based Human Identity Recognition
Synopsis
This research study is focused on investigating the problem of recognition of human identity from its walking pattern in presence of view angle and clothing condition as covariate. The problem of gait recognition is challenging due to fact that gait has spatio-temporal phenomena with very high dimensional tensorial data distribution, large amount of redundancy, complex pattern distribution and very large variability of appearance within the same class of subject. The extraction of discriminative features in the presence of covariates for robust human gait recognition is a challenging task. The study presents processing aspects of gait recognition system through systematic framework of pre-processing, gait representation, feature extraction, dimensionality reduction and classification for human identity recognition. It has contributed to understanding, interpretation and development of effective gait representation and multilinear subspace learning algorithm. The key contribution, understanding and interpretation are summarized here and direction for future work is provided.
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Gait Based Human Identity Recognition
Published by
LAP LAMBERT Academic Publishing Okt 2018, 2018
ISBN 10: 6139936349
ISBN 13: 9786139936342
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Taschenbuch
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This research study is focused on investigating the problem of recognition of human identity from its walking pattern in presence of view angle and clothing condition as covariate. The problem of gait recognition is challenging due to fact that gait has spatio-temporal phenomena with very high dimensional tensorial data distribution, large amount of redundancy, complex pattern distribution and very large variability of appearance within the same class of subject. The extraction of discriminative features in the presence of covariates for robust human gait recognition is a challenging task. The study presents processing aspects of gait recognition system through systematic framework of pre-processing, gait representation, feature extraction, dimensionality reduction and classification for human identity recognition. It has contributed to understanding, interpretation and development of effective gait representation and multilinear subspace learning algorithm. The key contribution, understanding and interpretation are summarized here and direction for future work is provided. 136 pp. Englisch. Seller Inventory # 9786139936342
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Gait Based Human Identity Recognition
Published by
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6139936349
ISBN 13: 9786139936342
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Seller: moluna, Greven, Germany
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Chhatrala Risil RameshbhaiDr. Risil Rameshbhai Chhatrala - Degree of Doctor of Philosophy in the Faculty of Engineering. Research Center JSPM s, Rajarshi Shahu College of Engineering, Pune, Department of Electronics and Telecommunica. Seller Inventory # 255949031
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Gait Based Human Identity Recognition
Published by
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6139936349
ISBN 13: 9786139936342
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Seller: Revaluation Books, Exeter, United Kingdom
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Paperback. Condition: Brand New. 136 pages. 8.66x5.91x0.31 inches. In Stock. Seller Inventory # zk6139936349
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Gait Based Human Identity Recognition
Published by
LAP LAMBERT Academic Publishing Okt 2018, 2018
ISBN 10: 6139936349
ISBN 13: 9786139936342
New
Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This research study is focused on investigating the problem of recognition of human identity from its walking pattern in presence of view angle and clothing condition as covariate. The problem of gait recognition is challenging due to fact that gait has spatio-temporal phenomena with very high dimensional tensorial data distribution, large amount of redundancy, complex pattern distribution and very large variability of appearance within the same class of subject. The extraction of discriminative features in the presence of covariates for robust human gait recognition is a challenging task. The study presents processing aspects of gait recognition system through systematic framework of pre-processing, gait representation, feature extraction, dimensionality reduction and classification for human identity recognition. It has contributed to understanding, interpretation and development of effective gait representation and multilinear subspace learning algorithm. The key contribution, understanding and interpretation are summarized here and direction for future work is provided.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 136 pp. Englisch. Seller Inventory # 9786139936342
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Gait Based Human Identity Recognition
Published by
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6139936349
ISBN 13: 9786139936342
New
Taschenbuch
Seller: preigu, Osnabrück, Germany
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Taschenbuch. Condition: Neu. Gait Based Human Identity Recognition | Risil Rameshbhai Chhatrala (u. a.) | Taschenbuch | 136 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9786139936342 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Seller Inventory # 114990863
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Gait Based Human Identity Recognition
Published by
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6139936349
ISBN 13: 9786139936342
New
Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This research study is focused on investigating the problem of recognition of human identity from its walking pattern in presence of view angle and clothing condition as covariate. The problem of gait recognition is challenging due to fact that gait has spatio-temporal phenomena with very high dimensional tensorial data distribution, large amount of redundancy, complex pattern distribution and very large variability of appearance within the same class of subject. The extraction of discriminative features in the presence of covariates for robust human gait recognition is a challenging task. The study presents processing aspects of gait recognition system through systematic framework of pre-processing, gait representation, feature extraction, dimensionality reduction and classification for human identity recognition. It has contributed to understanding, interpretation and development of effective gait representation and multilinear subspace learning algorithm. The key contribution, understanding and interpretation are summarized here and direction for future work is provided. Seller Inventory # 9786139936342