02952nam 22006855 450 991100735780332120250531130314.03-031-89560-610.1007/978-3-031-89560-9(CKB)39124522900041(DE-He213)978-3-031-89560-9(MiAaPQ)EBC32142495(Au-PeEL)EBL32142495(OCoLC)1524421710(EXLCZ)993912452290004120250531d2025 u| 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierAdvances in Gait-Based Identification A Systematic Review of Deep Learning Models Leveraging Computer Vision Techniques /by Diogo R. M. Bastos, João Manuel R. S. Tavares1st ed. 2025.Cham :Springer Nature Switzerland :Imprint: Springer,2025.1 online resource (XIX, 96 p. 22 illus., 18 illus. in color.) Studies in Systems, Decision and Control,2198-4190 ;5933-031-89559-2 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.Studies in Systems, Decision and Control,2198-4190 ;593Computer visionImage processingBiomechanicsArtificial intelligenceBiometric identificationComputer VisionImage ProcessingBiomechanicsArtificial IntelligenceBiometricsComputer vision.Image processing.Biomechanics.Artificial intelligence.Biometric identification.Computer Vision.Image Processing.Biomechanics.Artificial Intelligence.Biometrics.006.37Bastos Diogo R. Mauthttp://id.loc.gov/vocabulary/relators/aut1823668R. S. Tavares João Manuelauthttp://id.loc.gov/vocabulary/relators/autMiAaPQMiAaPQMiAaPQBOOK9911007357803321Advances in Gait-Based Identification4390478UNINA