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[null,"1.","Record Nr.",null,"UNINA9911007357803321"]
[null,null,"Autore",null,"Bastos Diogo R. M"]
[null,null,"Titolo",null,"Advances in Gait-Based Identification : A Systematic Review of Deep Learning Models Leveraging Computer Vision Techniques / / by Diogo R. M. Bastos, João Manuel R. S. Tavares"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025"]
[null,null,"ISBN",null,"3-031-89560-6"]
[null,null,"Edizione",null,"[1st ed. 2025.]"]
[null,null,"Descrizione fisica",null,"1 online resource (XIX, 96 p. 22 illus., 18 illus. in color.)"]
[null,null,"Collana",null,"Studies in Systems, Decision and Control, , 2198-4190 ; ; 593"]
[null,null,"Disciplina",null,"006.37"]
[null,null,"Soggetti",null,"Computer vision"]
[{"$nulls":4},"Image processing"]
[{"$nulls":4},"Biomechanics"]
[{"$nulls":4},"Artificial intelligence"]
[{"$nulls":4},"Biometric identification"]
[{"$nulls":4},"Computer Vision"]
[{"$nulls":4},"Image Processing"]
[{"$nulls":4},"Artificial Intelligence"]
[{"$nulls":4},"Biometrics"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"Introduction -- Background -- Research objectives and method -- Datasets -- Comparison of the reviewed methods -- Conclusion."]
[null,null,null,"Sommario/riassunto","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."]