KIEE
The Transactions of
the Korean Institute of Electrical Engineers
KIEE
Contact
Open Access
Monthly
ISSN : 1975-8359 (Print)
ISSN : 2287-4364 (Online)
http://www.tkiee.org/kiee
Mobile QR Code
The Transactions of the Korean Institute of Electrical Engineers
ISO Journal Title
Trans. Korean. Inst. Elect. Eng.
Main Menu
Main Menu
최근호
Current Issue
저널소개
About Journal
논문집
Journal Archive
편집위원회
Editorial Board
윤리강령
Ethics Code
논문투고안내
Instructions to Authors
연락처
Contact Info
논문투고·심사
Submission & Review
Journal Search
Home
Archive
2020-07
(Vol.69 No.7)
10.5370/KIEE.2020.69.7.1125
Journal XML
XML
PDF
INFO
REF
References
1
S. Hong, H. Lee, K. Oh, E. Kim, 2006, Gait recognition using modified motion silhouette image, Journal of The Korean Institute of Intelligent Systems, Vol. 16, No. 3, pp. 266-270
2
I. F. Nizami, S. An, S. Hong, H. Lee, E. Kim, M. Park, Feb 2008, Fusion algorithm for Integrated Face and Gait Identification, Journal of The Korean Institute of Intelligent Systems, Vol. 18, No. 1, pp. 72-77
3
L. Wang, T. Tan, H. Ning, W. Hu, 2003, Silhouette analysis- based gait recognition for human identification, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 25, pp. 1505-1518
4
T. Lam, R. Lee, 2006, A new representation for human gait recognition: Motion Silhouettes Image (MSI), in Proc. International Conference on Biometrics, pp. 612-618
5
E. Zhang, Y. Zhao, W. Xiong, 2010, Active energy image plus 2DLPP for gait recognition, Signal Process, Vol. 90, No. 7, pp. 2295-2302
6
K. Bashir, T. Xiang, S. Gong, 2010, Gait recognition without subject cooperation, Pattern Recognition Letters, Vol. 31, No. 13, pp. 2052-2060
7
S. Hong, E. Kim, Jun 2017, A New Automatic Gait Cycle Partitioning Method and Its Application to Human Identification, International Journal of Fuzzy Logic and Intelligent Systems, Vol. 17, No. 2, pp. 51-57
8
H. Lee, H. Lee, E. Kim, Feb 2014, A New Gait Recognition System Based on Hierarchical Fair Competition-based Parallel Genetic Algorithm and Selective Neural Network Ensemble, International Journal of Control, Automation and Systems, Vol. 12, No. 1, pp. 202-207
9
H. Lee, S. Hong, E. Kim, 2009, Neural network ensemble with probabilistic fusion and its application to gait recognition, Neurocomputing, Vol. 72, pp. 1557-1564
10
J. D. Woodward, N. M. Orlans, P. T. Higgins, 2003, Biometrics, McGraw-Hill
11
H. Lee, S. Hong, E. Kim, July 2009, A new genetic feature selection with neural network ensemble, International Journal of Computer Mathematics, Vol. 86, No. 7, pp. 1105-1117
12
A. Krizhevsky, I. Sutskever, G. E. Hinton, Imagenet classification with deep convolutional neural networks., in Proc. Advances in neural information processing systems
13
C. Zhang, W. Liu, H. Ma, H. Fu, 2016, Siamese neural network based gait recognition for human identification, in Proc. IEEE International Conference on Acoustics, Vol. speech and signal processing, pp. 2832-2836
14
L. Wang, T. Tan, H. Ning, W. Hu, 2003, Silhouette analysis based gait recognition for human identification, IEEE trans. Pattern Analysis and Machine Intelligence, Vol. 25, No. 12, pp. 1505-1518
15
E. Zhang, J. Lu, G. Duan, Aug 2005, Gait recognition via independent component analysis based on support vector machine and neural network, in Proc. Int’l Conf. advances in natural computation, pp. 640-649
16
J. Shutler, M. Grant, M. Nixon, J. Carter, 2004, On a Large Sequence-Based Human Gait Database, Applications and Science in Soft Computing, Vol. vol 24, pp. 339-346