TY - GEN
T1 - A survey of advances in biometric gait recognition
AU - Zhang, Zhaoxiang
AU - Hu, Maodi
AU - Wang, Yunhong
PY - 2011
Y1 - 2011
N2 - 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.
AB - 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.
KW - Biometric
KW - Gait Analysis
KW - Recognition
UR - https://www.scopus.com/pages/publications/81155133302
U2 - 10.1007/978-3-642-25449-9_19
DO - 10.1007/978-3-642-25449-9_19
M3 - 会议稿件
AN - SCOPUS:81155133302
SN - 9783642254482
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 150
EP - 158
BT - Biometric Recognition - 6th Chinese Conference, CCBR 2011, Proceedings
T2 - 6th Chinese Conference on Biometric Recognition, CCBR 2011
Y2 - 3 December 2011 through 4 December 2011
ER -