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Erschienen in:
2011 | OriginalPaper | Buchkapitel
A Survey of Advances in Biometric Gait Recognition
verfasst von : Zhaoxiang Zhang, Maodi Hu, Yunhong Wang
Erschienen in: Biometric Recognition
Verlag: Springer Berlin Heidelberg
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Biometric gait analysis is to acquire biometric information such as identity, gender, ethnicity and age from people walking patterns. In the walking process, the human body shows regular periodic motion, especially upper and lower limbs, which reflects the individual’s unique movement pattern. Compared to other biometrics, gait can be obtained from distance and is difficult to hide and camouflage. During the past ten years, gait has been a hot topic in computer vision with great progress achieved. In this paper, we give a general review and a simple survey of recent gait progresses.