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Advances in gait-based identificatio...
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Bastos, Diogo R. M.
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Advances in gait-based identification = a systematic review of deep learning models leveraging computer vision techniques /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Advances in gait-based identification/ by Diogo R. M. Bastos, João Manuel R. S. Tavares.
其他題名:
a systematic review of deep learning models leveraging computer vision techniques /
作者:
Bastos, Diogo R. M.
其他作者:
Tavares, João Manuel R. S.
出版者:
Cham :Springer Nature Switzerland : : 2025.,
面頁冊數:
xix, 96 p. :ill. (some col.), digital ;24 cm.
內容註:
Introduction -- Background -- Research objectives and method -- Datasets -- Comparison of the reviewed methods -- Conclusion.
Contained By:
Springer Nature eBook
標題:
Biometric identification. -
電子資源:
https://doi.org/10.1007/978-3-031-89560-9
ISBN:
9783031895609
Advances in gait-based identification = a systematic review of deep learning models leveraging computer vision techniques /
Bastos, Diogo R. M.
Advances in gait-based identification
a systematic review of deep learning models leveraging computer vision techniques /[electronic resource] :by Diogo R. M. Bastos, João Manuel R. S. Tavares. - Cham :Springer Nature Switzerland :2025. - xix, 96 p. :ill. (some col.), digital ;24 cm. - Studies in systems, decision and control,v. 5932198-4190 ;. - Studies in systems, decision and control ;v. 593..
Introduction -- Background -- Research objectives and method -- Datasets -- Comparison of the reviewed methods -- Conclusion.
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.
ISBN: 9783031895609
Standard No.: 10.1007/978-3-031-89560-9doiSubjects--Topical Terms:
729691
Biometric identification.
LC Class. No.: TK7882.B56
Dewey Class. No.: 006.248
Advances in gait-based identification = a systematic review of deep learning models leveraging computer vision techniques /
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