Skip to main content
SpringerLink
Log in

Analysis of Image Sequences for the Unmanned Aerial Vehicle

  • Conference paper
  • First Online:
New Frontiers in Artificial Intelligence (JSAI 2001)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2253))

Included in the following conference series:

Abstract

A method for extracting relevant information from image sequence data is presented. The image sequences, being output of video system of the Unmanned Aerial Vehicle, are analysed with use of EM-clustering techniques and Rough Set based methods. The possibilities of construction of an automated system for recognition/identification of cars on the road, on the basis of colour-related data are discussed.

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 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
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. Ambroise C., Dang M., Govaert G. (1997), Clustering of Spatial Data by the EM Algorithm. In: A. Soares et al. (eds), geoENV I-Geostatistics for Environmental Applications, Kluwer, Dordrecht, pp. 493–504.

    Google Scholar 

  2. Backer E., Kandel A.(1995), Computer-Assisted Reasoning in Cluster Analysis, Prentice Hall, New York.

    Google Scholar 

  3. Celeux G., Govaert G. (1992) A classification EM algorithm for clustering and two stochastic versions, Computational Statistics and Data Analysis, 14, pp. 315–332.

    Article  MATH  MathSciNet  Google Scholar 

  4. Komorowski J., Pawlak Z., Polkowski L., Skowron A.(1999). Rough sets: A tutorial. In: S.K. Pal and A. Skowron (eds.), Rough fuzzy hybridization: A new trend in decision-making, Springer-Verlag, Singapore, pp. 3–98.

    Google Scholar 

  5. Nguyen H.S., Skowron A., Szczuka M. (2000), Situation Identification by UAV, Proceedings of CS&P 2000, Informatik Berichte, Humboldt-Univerität zu Berlin

    Google Scholar 

  6. The Rosetta Homepage-http://www.idi.ntnu.no/~aleks/rosetta

  7. The RSES Homepage-http://www.logic.mimuw.edu.pl/~rses

  8. The WITAS project Homepage-http://www.ida.liu.se/ext/witas/

Download references

Author information

Authors and Affiliations

  1. Institute of Mathematics, Warsaw University, Banacha 2, 02-097, Warsaw, Poland

    Hung Son Nguyen, Andrzej Skowron & Marcin S. Szczuka

Authors
  1. Hung Son Nguyen
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Andrzej Skowron
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Marcin S. Szczuka
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Graduate School of Business Science, The University of Tsukuba, Tokyo

    Takao Terano  & Yukio Ohsawa  & 

  2. School of Engineering, The University of Tokyo, Tokyo

    Toyoaki Nishida

  3. Dept.of Computer Science, National Defense Academy, Japan

    Akira Namatame

  4. School of Medicines, Shimane Medical University, Japan

    Syusaku Tsumoto

  5. The Institute of Scientific and Industrial Research, Osaka University, Osaka

    Takashi Washio

Rights and permissions

Reprints and permissions

Copyright information

© 2001 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Nguyen, H.S., Skowron, A., Szczuka, M.S. (2001). Analysis of Image Sequences for the Unmanned Aerial Vehicle. In: Terano, T., Ohsawa, Y., Nishida, T., Namatame, A., Tsumoto, S., Washio, T. (eds) New Frontiers in Artificial Intelligence. JSAI 2001. Lecture Notes in Computer Science(), vol 2253. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45548-5_41

Download citation

  • DOI: https://doi.org/10.1007/3-540-45548-5_41

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43070-4

  • Online ISBN: 978-3-540-45548-6

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation