ISBN-13: 9783031895623 / Angielski / Miękka / 2026 / 96 str.
ISBN-13: 9783031895623 / Angielski / Miękka / 2026 / 96 str.
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.