Skip to main content
SpringerLink
Log in

Tracking of Moving Object Using Deformable Template

  • Conference paper
Knowledge-Based Intelligent Information and Engineering Systems (KES 2003)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2773))

  • 1194 Accesses

Abstract

A method to track a moving object that has a continuous shape deformations is described in this paper. Moreover this method aims to also obtain information about the shape deformations. This method uses template matching, where the template is deformed. The deformation of the template and matching process are performed using a genetic algorithm. Our conventional method does not have a good search efficiency. Therefore, a new method, which distinguishes between an object function and fitness function, is proposed in this paper. Comparisons between our conventional method and the new method are also simulated. As an object for this simulation, a lips region during speech is used. From results of this simulation, it comes to light that the proposed method is more better than the conventional one in tracking accuracy and speed.

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 74.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 99.00
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. Nakata, Y., Ando, M.: Detection of Mouth Position Using Color Extraction Method and Eigentemplate Technique for Lipreading. Technical Report of IEICE, PRMU2001-09 101(303), 7–12 (2001)

    Google Scholar 

  2. Masunaga, S., Nagao, T.: Extraction of human facial regions in still images using a genetic algorithm. Technical Report of IEICE, PRU95-160 95(365), 13–18 (1995)

    Google Scholar 

  3. Hara, A., Nagao, T.: Extraction of facial region of arbitrary directions from still images with a genetic algorithm. Technical Report of IEICE, Vol. HCS97-12. 97(262), 37–44 (1997)

    Google Scholar 

  4. Saitoh, F.: Pose recognition of gray-scaled template image using genetic algorithm. T. IEE Japan 121-C(10), 1500–1507 (2001)

    Google Scholar 

  5. Akashi, T., Fukumi, M., Akamatsu, N.: Lips Extraction with template Matching by Genetic Algorithm. Knowledge-Based Intelligent Information Engineering systems and Allied Technologies, Crema, Italy, pp. 343–347 (2002)

    Google Scholar 

  6. Akashi, T., Mitsukura, Y., Fukumi, M., Akamatsu, N.: Genetic Lips Extraction Method for Varying Shape. Computational Intelligence in Robotics and Automation, Kobe, Japan (2003) (to appear)

    Google Scholar 

  7. Minolta Co., Ltd.: The Essential of Imaging. Japan, 28–44 (2002)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Graduate School of Engineering, University of Tokushima, 2-1 Minami-josanjima, Tokushima, Japan

    Takuya Akashi

  2. Faculty of Engineering, University of Tokushima, 2-1 Minami-josanjima, Tokushima, Japan

    Minoru Fukumi & Norio Akamatsu

Authors
  1. Takuya Akashi
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Minoru Fukumi
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Norio Akamatsu
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Computing Laboratory, Oxford University, Parks Road, OXI 3QD, United Kingdom

    Vasile Palade

  2. Intelligent Systems and Signal Processing Labs, Moulsecoomb, University of Brighton, BN2 4GJ, Brighton, United Kingdom

    Robert J. Howlett

  3. Knowledge-Based Intelligent Engineering Systems Centre, Mawson Lakes, University of South Australia, 5095, Adelaide, SA, Australia

    Lakhmi Jain

Rights and permissions

Reprints and permissions

Copyright information

© 2003 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Akashi, T., Fukumi, M., Akamatsu, N. (2003). Tracking of Moving Object Using Deformable Template. In: Palade, V., Howlett, R.J., Jain, L. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2003. Lecture Notes in Computer Science(), vol 2773. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45224-9_157

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-45224-9_157

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40803-1

  • Online ISBN: 978-3-540-45224-9

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation