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Condition: New. pp. XI, 461 177 illus., 156 illus. in color. 1st ed. 2019 edition NO-PA16APR2015-KAP.
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Language: English
Published by Springer Nature Switzerland, Springer Nature Switzerland, 2025
ISBN 10: 3031895592 ISBN 13: 9783031895593
Seller: AHA-BUCH GmbH, Einbeck, Germany
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides a systematic review of gait-based person identification, categorizing studies into deep-learning and non-deep-learning approaches while analyzing key datasets and performance metrics. It explores challenges such as covariant factors, e.g., viewing angles, clothing, and accessories, and highlights advancements in real-world gait recognition systems. With a structured methodology and transparent review process, this work serves as a valuable reference for researchers and a foundation for future developments in biometric identification.
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Seller: Mispah books, Redhill, SURRE, United Kingdom
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Published by Springer-Nature New York Inc, 2025
ISBN 10: 3031895592 ISBN 13: 9783031895593
Seller: Revaluation Books, Exeter, United Kingdom
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Seller: Mispah books, Redhill, SURRE, United Kingdom
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Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Published by Engineering Science Reference, 2021
ISBN 10: 1799888924 ISBN 13: 9781799888925
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