TY - GEN
T1 - Frontal gait recognition from incomplete rgb-d streams using gait cycle analysis
AU - Zou, Wenyun
AU - Kamata, Sei Ichiro
N1 - Funding Information:
This work was partially supported by JSPS KAKENHI Grant Number 15K00248.
Publisher Copyright:
© 2018 IEEE.
PY - 2019/2/12
Y1 - 2019/2/12
N2 - Gait as a significant biometric feature in human identification is drawing a wide attention nowadays. In many real-life surveillance zones such as banks, airports and corridors, gait recognition is often restricted from the front view. There are situations where a complete gait cycle is not always available due to frame drop caused by devices and the limitation in space of such areas, while most of the existing methods require at least one complete gait cycle. A novel method is proposed to achieve a high recognition rate in such application scenarios, based on dividing a gait cycle into several phases using Constrained Fuzzy C-Means method and converging feature information of a stream into one feature descriptor using gait cycle analysis. Experimental results demonstrate the high performance of our method comparing to other existing ones.
AB - Gait as a significant biometric feature in human identification is drawing a wide attention nowadays. In many real-life surveillance zones such as banks, airports and corridors, gait recognition is often restricted from the front view. There are situations where a complete gait cycle is not always available due to frame drop caused by devices and the limitation in space of such areas, while most of the existing methods require at least one complete gait cycle. A novel method is proposed to achieve a high recognition rate in such application scenarios, based on dividing a gait cycle into several phases using Constrained Fuzzy C-Means method and converging feature information of a stream into one feature descriptor using gait cycle analysis. Experimental results demonstrate the high performance of our method comparing to other existing ones.
KW - Frontal gait recognition
KW - Fuzzy gait phase clas-sification
KW - Gait cycle analysis
KW - Incomplete gait cycle
KW - RGB-D stream
UR - http://www.scopus.com/inward/record.url?scp=85063208114&partnerID=8YFLogxK
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U2 - 10.1109/ICIEV.2018.8640960
DO - 10.1109/ICIEV.2018.8640960
M3 - Conference contribution
AN - SCOPUS:85063208114
T3 - 2018 Joint 7th International Conference on Informatics, Electronics and Vision and 2nd International Conference on Imaging, Vision and Pattern Recognition, ICIEV-IVPR 2018
SP - 453
EP - 458
BT - 2018 Joint 7th International Conference on Informatics, Electronics and Vision and 2nd International Conference on Imaging, Vision and Pattern Recognition, ICIEV-IVPR 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - Joint 7th International Conference on Informatics, Electronics and Vision and 2nd International Conference on Imaging, Vision and Pattern Recognition, ICIEV-IVPR 2018
Y2 - 25 June 2018 through 28 June 2018
ER -