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:
A Survey on Location Recommendation Systems Read chapter Read first chapter

2017 | OriginalPaper | Chapter

Feature Extraction Methods for Human Gait Recognition – A Survey

Authors : Sugandhi K., Farha Fatina Wahid, Raju G.

Published in: Advances in Computing and Data Sciences

Publisher: Springer Singapore

Log in

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

search-config
loading …

Abstract

Human gait recognition opens a wide variety of challenging problems for research community. Feature extraction has a significant role in designing human gait recognition systems. Numerous features have been defined based on gait video frames. Spatial as well as temporal descriptors have equal importance within gait features. In this paper, we present a survey of prominent feature extraction methods incorporated in human gait recognition systems and their respective recognition accuracies are reported. Also, a description of popular gait databases is presented.

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
previous chapter Directional Contourlet Based Multi-resolution Image Fusion Method for INSAT Images
next chapter Modeling the Decline of Orkut with Popularity in Facebook
Literature
1.
2.
Cutting, J., Kozlowski, L.: Recognizing friends by their walk: gait perception without familiarity cues. Bull. Psychon. Soc. 9, 353–356 (1977)CrossRef
3.
Johansson, G.: Visual perception of biological motion and a model for its analysis. Percept. Psychophys. 14, 201–211 (1973)CrossRef
4.
Lee, T., Belkhatir, M., Sanei, S.: A comprehensive review of past and present vision-based techniques for gait recognition. Multimedia Tools Appl. 72, 2833–2869 (2013)CrossRef
5.
6.
7.
8.
Reyländer, S.: Scientific Databases for Gait Analyses. AV Akademikerverlag, Saarbrücken (2015)
9.
Chen, C., Liang, J., Zhu, X.: Gait recognition based on improved dynamic Bayesian networks. Pattern Recogn. 44, 988–995 (2011)CrossRef
10.
Kusakunniran, W.: Attribute-based learning for gait recognition using spatio-temporal interest points. Image Vis. Comput. 32, 1117–1126 (2014)CrossRef
11.
12.
13.
Arora, P., Srivastava, S., Arora, K., Bareja, S.: Improved gait recognition using gradient histogram Gaussian image. Procedia Comput. Sci. 58, 408–413 (2015)CrossRef
14.
Lee, C., Tan, A., Tan, S.: Gait recognition with transient binary patterns. J. Vis. Commun. Image Represent. 33, 69–77 (2015)CrossRef
15.
Han, J., Bhanu, B.: Individual recognition using gait energy image. IEEE Trans. Pattern Anal. Mach. Intell. 28, 316–322 (2006)CrossRef
16.
Kusakunniran, W., Wu, Q., Zhang, J., Li, H., Wang, L.: Recognizing gaits across views through correlated motion co-clustering. IEEE Trans. Image Process. 23, 696–709 (2014)MathSciNetCrossRef
17.
Kusakunniran, W., Wu, Q., Zhang, J., Li, H.: Cross-view and multi-view gait recognitions based on view transformation model using multi-layer perceptron. Pattern Recogn. Lett. 33, 882–889 (2012)CrossRef
18.
Yogarajah, P., Chaurasia, P., Condell, J., Prasad, G.: Enhancing gait based person identification using joint sparsity model and l1-norm minimization. Inf. Sci. 308, 3–22 (2015)CrossRef
19.
Zhang, E., Zhao, Y., Xiong, W.: Active energy image plus 2DLPP for gait recognition. Sig. Process. 90, 2295–2302 (2010)CrossRefMATH
20.
Huang, X., Boulgouris, N.: Gait recognition with shifted energy image and structural feature extraction. IEEE Trans. Image Process. 21, 2256–2268 (2012)MathSciNetCrossRef
Metadata
Title
Feature Extraction Methods for Human Gait Recognition – A Survey
Authors
Sugandhi K.
Farha Fatina Wahid
Raju G.
Copyright Year
2017
Publisher
Springer Singapore
Book
Advances in Computing and Data Sciences

Print ISBN: 978-981-10-5426-6

Electronic ISBN: 978-981-10-5427-3

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-981-10-5427-3_40

Premium Partner

    Image Credits