Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
Cover of the book

2016 | OriginalPaper | Chapter

Human Gait Recognition Using Gait Flow Image and Extension Neural Network

Authors : Parul Arora, Smriti Srivastava, Shivank

Published in: Proceedings of the Second International Conference on Computer and Communication Technologies

Publisher: Springer India

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

This paper represents a new technique to recognize human gait using gait flow image (GFI) and extension neural network (ENN). GFI is a gait period-based technique, based on optical flow. ENN combines the extension theory and neural networks. So a novel ENN-based gait recognition method is proposed, which outperforms all existing methods. All the study is done on, CASIA-A database, which includes 20 persons. The results derived using ENN are compared with support vector machines (SVM) and nearest neighbor (NN) classifiers. ENN proved to have 98 % accuracy and lesser iterations as compared to other traditional methods.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now
next chapter Improved Topology Preserving Maps for Wireless Sensor Networks Through D-VCS
Literature
1.
Yu, C.C., Cheng, C.H., Fan, K.C.: A gait classification system using optical flow features. J. Inf. Sci. Eng. 30(1), 179–193 (2014)MATH
2.
Yam, C., Nixon, M.S., Carter, J.N.: Automated person recognition by walking and running via model-based approaches. Pattern Recogn. 37(5), 1057–1072 (2004)CrossRef
3.
Wang, L., Ning, H., Tan, T., Hu, W.: Fusion of static and dynamic body biometrics for gait recognition. IEEE Trans. Circuits Syst. Video Technol. 14(2), 149–158 (2004)CrossRef
4.
Kale, A., Sundaresan, A., Rajagopalan, A.N., Cuntoor, N.P., Roy-Chowdhury, A.K., Kruger, V., Chellappa, R.: Identification of humans using gait. IEEE Trans. Image Process. 13(9), 1163–1173 (2004)CrossRef
5.
Sarkar, S., Phillips, P.J., Liu, Z., Vega, I.R., Grother, P., Bowyer, K.W.: The humanid gait challenge problem: Data sets, performance, and analysis. IEEE Trans. Pattern Anal. Mach. Intell. 27(2), 162–177 (2005)CrossRef
6.
Arora, P., Hanmandlu, M., Srivastava, S.: Gait based authentication using gait information image features. Pattern Recognition Letters (2015)
7.
Arora, P., Srivastava, S.: Gait recognition using gait Gaussian image. In: IEEE Second International Conference on Signal Processing and Integrated Networks (SPIN), pp. 915–918. IEEE press (2015)
8.
Lam, T.H., Cheung, K.H., Liu, J.N.: Gait flow image: A silhouette-based gait representation for human identification. Pattern Recogn. 44(4), 973–987 (2011)MATHCrossRef
9.
Wang, L., Tan, T., Ning, H., Hu, W.: Silhoutte analysis based gait recognition for human identification. IEEE Trans. Pattern Anal. Mach. Intell. (PAMI) 25(12), 1505–1518 (2003)CrossRef
10.
Wang, M.H., Hung, C.P.: Extension neural network and its applications. Neural Netw. 16(5), 779–784 (2003)CrossRef
11.
Horn, B.K., Schunck, B.G: Determining optical flow. In: Technical Symposium East, pp. 319–331. International Society for Optics and Photonics (1981)
12.
Vapnik, V.N.: Estimation of dependences based on empirical data, vol. 41. Springer, New York (1982)
13.
Wang, L., Tan, T., Hu, W., Ning, H.: Automatic gait recognition based on statistical shape analysis. IEEE Trans. Image Process. 12(9), 1120–1131 (2003)MathSciNetCrossRef
14.
Chen, S., Gao, Y.: An invariant appearance model for gait recognition. In: IEEE International Conference on Multimedia and Expo, pp. 1375–1378. IEEE press (2007)
Metadata
Title
Human Gait Recognition Using Gait Flow Image and Extension Neural Network
Authors
Parul Arora
Smriti Srivastava
Shivank
Copyright Year
2016
Publisher
Springer India
Book
Proceedings of the Second International Conference on Computer and Communication Technologies

Print ISBN: 978-81-322-2522-5

Electronic ISBN: 978-81-322-2523-2

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-81-322-2523-2_1