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:
Identification of the Conjugate Pair to Estimating Object Distance: An Application of the Ant Colony Algorithm Read chapter Read first chapter

2018 | OriginalPaper | Chapter

A Joint Hierarchy Model for Action Recognition Using Kinect

Authors : Qicheng Pei, Jianxin Chen, Lizheng Liu, Chenxuan Xi

Published in: Artificial Intelligence and Robotics

Publisher: Springer International Publishing

Log in

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

search-config
loading …

Abstract

In this paper, we proposed a joint hierarchy model to represent the motion of human according to the covariance feature of adjacent joints using Kinect. SVM is used for the action classification. Experimental results show that the proposed model improves the recognition accuracy with less computation complexity.

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 A Demand-Based Allocation Mechanism for Virtual Machine
next chapter QoS-Based Medical Program Evolution
Literature
1.
2.
3.
Lu, H., Li, Y., Uemura, T., Ge, Z., Xu, X., He, L., Serikawa, S.: FDCNet: filtering deep convolutional network for marine organism classification. J. Multimedia Tools Appl. 1–14 (2017)
4.
Blank, M., Gorelick, L., Shechtman, E. et al.: Actions as space-time shapes. Comput. Vis. ICCV 2005. In: Tenth IEEE International Conference on IEEE, vol. 2, pp. 1395–1402 (2005)
5.
Xia, L., Chen, C.C., Aggarwal, J.K.: View invariant human action recognition using histograms of 3D joints. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, pp. 20–27. IEEE (2012)
6.
Li, W., Zhang, Z., Liu, Z.: Action recognition based on a bag of 3D points. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition-Workshops, pp. 9–14. IEEE (2010)
7.
Yang, X., Tian, Y.L.: EigenJoints-based action recognition using naïve-bayes-nearest-neighbor 38(3c), 14–19 (2012)
8.
Yuan, M., Chen, E., Gao, L.: Posture selection based on two-layer AP with application to human action recognition using HMM. In: IEEE International Symposium on Multimedia, pp. 359–364. IEEE Computer Society (2016)
9.
Lu, G., Zhou, Y., Li, X., et al.: Efficient action recognition via local position offset of 3D skeletal body joints. Multimedia Tools Appl 75(6), 3479–3494 (2016)CrossRef
10.
Zhou, L., Li, W., Zhang, Y., et al.: Discriminative key pose extraction using extended LC-KSVD for action recognition. In: International Conference on Digital Image Computing: Techniques and Applications, pp. 1–8. IEEE (2014)
11.
Vemulapalli, R., Arrate. F., Chellappa, R.: Human action recognition by representing 3D skeletons as points in a Lie group. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 588–595. IEEE Computer Society (2014)
12.
Li, J., Chen, J., Sun, L.: Joint motion similarity (JMS)-based human action recognition using kinect. In: International Conference Digital Image Computing: Techniques and Applications (DICTA), pp. 1–8. IEEE (2016)
13.
Zhu, Y., Chen, W., Guo, G.: Fusing spatiotemporal features and joints for 3D action recognition. In: Computer Vision and Pattern Recognition Workshops, pp. 486–491. IEEE (2013)
14.
Hussein, M.E., Torki, M., Gowayyed, M.A., et al.: Human action recognition using a temporal hierarchy of covariance descriptors on 3D joint locations. In: Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence, pp. 2462–2472 (2013)
15.
Fothergill, S., Mentis, H., Kohli, P., et al.: Instructing people for training gestural interactive systems. In: Sigchi Conference on Human Factors in Computing Systems, pp. 1737–1746. ACM (2012)
16.
Li, W., Zhang, Z., Liu, Z.: Action recognition based on a bag of 3D points. In: Computer Vision and Pattern Recognition Workshops, pp. 9–14. IEEE (2010)
17.
Shotton, J., Fitzgibbon, A.W., Cook, M., Sharp, T., Finocchio, M., Moore, R., Kipman, A., Blake, A.: Real-time human pose recognition in parts from single depth images. In: CVPR, pp. 1297–1304 (2011)
Metadata
Title
A Joint Hierarchy Model for Action Recognition Using Kinect
Authors
Qicheng Pei
Jianxin Chen
Lizheng Liu
Chenxuan Xi
Copyright Year
2018
Book
Artificial Intelligence and Robotics

Print ISBN: 978-3-319-69876-2

Electronic ISBN: 978-3-319-69877-9

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-69877-9_8

Premium Partner

    Image Credits