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Synopsis
Over the last few years, the use of automated systems and biometrics for security and surveillance applications has increased manifold. Traditional biometric signatures are not non-obtrusive – in the sense that they require the active consent and participation of the subject. This becomes a problem if surveillance and identification has to be carried out in a secret manner. As a low-cost non-obtrusive method for reliable person identification, human gait recognition provides a solution to this problem. This work employs a gait recognition process with binary silhouette-based input images and uses Hidden Markov Model (HMM) for the recognition process. The major objective has been to implement an efficient algorithm for the reliable identification of humans using their gait data. The experimental results provide a preliminary platform for satisfactory gait identification. This book should serve students in areas such as pattern recognition and image processing as an introduction to the promising field of human gait recognition and provides a framework to develop and implement more robust algorithms to be used in the real world.
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About the Author
Abhijit Nayak graduated from NIT Rourkela, India in 2015 with a Masters in Communication and Signal Processing. His research interests include image processing and pattern recognition.
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Human Identification & Recognition Using Gait
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LAP LAMBERT Academic Publishing Jul 2017, 2017
ISBN 10: 3330346051
ISBN 13: 9783330346055
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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 -Over the last few years, the use of automated systems and biometrics for security and surveillance applications has increased manifold. Traditional biometric signatures are not non-obtrusive - in the sense that they require the active consent and participation of the subject. This becomes a problem if surveillance and identification has to be carried out in a secret manner. As a low-cost non-obtrusive method for reliable person identification, human gait recognition provides a solution to this problem. This work employs a gait recognition process with binary silhouette-based input images and uses Hidden Markov Model (HMM) for the recognition process. The major objective has been to implement an efficient algorithm for the reliable identification of humans using their gait data. The experimental results provide a preliminary platform for satisfactory gait identification. This book should serve students in areas such as pattern recognition and image processing as an introduction to the promising field of human gait recognition and provides a framework to develop and implement more robust algorithms to be used in the real world. 68 pp. Englisch. Seller Inventory # 9783330346055
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Human Identification & Recognition Using Gait
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ISBN 13: 9783330346055
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Nayak AbhijitAbhijit Nayak graduated from NIT Rourkela, India in 2015 with a Masters in Communication and Signal Processing. His research interests include image processing and pattern recognition.Over the last few years, the use. Seller Inventory # 157880750
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Human Identification & Recognition Using Gait
Published by
LAP LAMBERT Academic Publishing Jul 2017, 2017
ISBN 10: 3330346051
ISBN 13: 9783330346055
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Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Over the last few years, the use of automated systems and biometrics for security and surveillance applications has increased manifold. Traditional biometric signatures are not non-obtrusive - in the sense that they require the active consent and participation of the subject. This becomes a problem if surveillance and identification has to be carried out in a secret manner. As a low-cost non-obtrusive method for reliable person identification, human gait recognition provides a solution to this problem. This work employs a gait recognition process with binary silhouette-based input images and uses Hidden Markov Model (HMM) for the recognition process. The major objective has been to implement an efficient algorithm for the reliable identification of humans using their gait data. The experimental results provide a preliminary platform for satisfactory gait identification. This book should serve students in areas such as pattern recognition and image processing as an introduction to the promising field of human gait recognition and provides a framework to develop and implement more robust algorithms to be used in the real world.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 68 pp. Englisch. Seller Inventory # 9783330346055
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Human Identification & Recognition Using Gait
Published by
LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330346051
ISBN 13: 9783330346055
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Seller: AHA-BUCH GmbH, Einbeck, Germany
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Over the last few years, the use of automated systems and biometrics for security and surveillance applications has increased manifold. Traditional biometric signatures are not non-obtrusive - in the sense that they require the active consent and participation of the subject. This becomes a problem if surveillance and identification has to be carried out in a secret manner. As a low-cost non-obtrusive method for reliable person identification, human gait recognition provides a solution to this problem. This work employs a gait recognition process with binary silhouette-based input images and uses Hidden Markov Model (HMM) for the recognition process. The major objective has been to implement an efficient algorithm for the reliable identification of humans using their gait data. The experimental results provide a preliminary platform for satisfactory gait identification. This book should serve students in areas such as pattern recognition and image processing as an introduction to the promising field of human gait recognition and provides a framework to develop and implement more robust algorithms to be used in the real world. Seller Inventory # 9783330346055
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Human Identification & Recognition Using Gait
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ISBN 10: 3330346051
ISBN 13: 9783330346055
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Taschenbuch. Condition: Neu. Human Identification & Recognition Using Gait | Abhijit Nayak | Taschenbuch | 68 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9783330346055 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 109545846
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