Skip to main content
SpringerLink
Log in

A Randomized Hypercolumn Model and Gesture Recognition

  • Conference paper
  • First Online:
Connectionist Models of Neurons, Learning Processes, and Artificial Intelligence (IWANN 2001)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2084))

Included in the following conference series:

  • 1413 Accesses

Abstract

Gesture recognition is an appealing tool for natural interface with computers especially for physically impaired persons. In this paper, it is proposed to use Hypercolumn model (HCM), which is constructed by hierarchically piling up Self-organizing maps (SOM), as an image recognition system for gesture recognition, since the HCM allows alleviating many difficulties associated with gesture recognition. It is, however, required for on-line systems to reduce the recognition time to the range of normal video camera rates. To achieve this, the Randomized HCM (RHCM), which is derived from HCM by replacing SOM with randomized SOM, is introduced. With RHCM algorithm, the recognition time is drastically reduced without accuracy deterioration. The experimental results to recognize hand gestures using RHCM are presented.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Davis J. and Shah M.: Recognizing Hand Gestures, ECCV’94, (1994) 331–340

    Google Scholar 

  2. Kameda Y., Minoh M. and Ikeda K.: Three Dimension Pose Estimation Of An Articulated Object From Its Silhouette Image, ACCV’93 (1993) 612–615

    Google Scholar 

  3. Freeman W. and Roth M.: Orientation Histgrams For Hand Gesture Recognition, Int. Workshop on Automatic Face-and Gesture-Recognition, IEEE Computer Society (1995)

    Google Scholar 

  4. Tsuruta N., Taniguchi R. and Amamiya M.: Hypercolumn Model: A Combination Model of Hierarchical Self-Organizing Maps and Neocognitron for Image Recognition, System and Computer in Japan, Vol. 31, No. 2 (2000) 49–61

    Article  Google Scholar 

  5. Tsuruta N., Taniguchi R. and Amamiya M.: Hypercolumn Model: A Modified Model of Neocognitron Using Hierarchical Self-Organizing Maps, IWANN’99, Vol. 1 (1999) 840–849

    Google Scholar 

  6. Kohonen T.: Self-organizing maps, Springer Series in Information Sciences (1995)

    Google Scholar 

  7. Tobely T. El., Yoshiki Y., Tsuda R., Tsuruta N. and Amamiya M., Randomized Self-Organizing Maps and Its Application, 6th Int. Conf. on Soft Computing, IIZUKA 2000 (2000) 207–214

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Electronics Enginieering and Computer Science, Fukuoka University, 8-19-1, Nanakuma, Jonan, Fukuoka, 814-0180, Japan

    Naoyuki Tsuruta & Yuichiro Yoshiki

  2. Department of Information Science and Electrical Engneering, Kyushu University, 6-1, Kasuga-Koen, Kasuga, Fukuoka, 816-8580, Japan

    Tarek El. Tobely

Authors
  1. Naoyuki Tsuruta
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Yuichiro Yoshiki
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Tarek El. Tobely
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Departamento de Inteligencia Artificial Sanda del Rey, Universidad Nacional de Educación a Distancia, s/n., Madrid, 28040, Spain

    José Mira

  2. Departamento de Arquitectura y Tecnología de Computadores, Universidad de Granada, Campus Fuentenueva, 18071, Granada, Spain

    Alberto Prieto

Rights and permissions

Reprints and permissions

Copyright information

© 2001 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Tsuruta, N., Yoshiki, Y., Tobely, T.E. (2001). A Randomized Hypercolumn Model and Gesture Recognition. In: Mira, J., Prieto, A. (eds) Connectionist Models of Neurons, Learning Processes, and Artificial Intelligence. IWANN 2001. Lecture Notes in Computer Science, vol 2084. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45720-8_27

Download citation

  • DOI: https://doi.org/10.1007/3-540-45720-8_27

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42235-8

  • Online ISBN: 978-3-540-45720-6

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation