Skip to main content
SpringerLink
Log in
SpringerLink
Log in

Event Detection for a Visual Surveillance System Using Stereo Omni-directional System

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

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2774))

Abstract

In this paper, by using a stereo omni-directional system, we propose an automatic surveillance system for detecting the events in which a person enters or leaves a room and of an object appearing or disappearing. It is important for a video surveillance system to detect events automatically and offer effective information. A stereo omni-directional system captures all directional color and disparity images from an observation point simultaneously, in real-time. Using background and frame subtraction methods, our system detects the foreground pixels, analyzes them and estimates the status of human and object regions.

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. Collins, R., Lipton, A., Kanade, T., Fujiyoshi, H., Duggins, D., Tsin, Y., Tolliver, D., Enomoto, N., Hasegawa, O.: A System for Video Surveillance and Monitoring. tech. report CMU-RI-TR-00-12, Robotics Institute, Carnegie Mellon University (2000)

    Google Scholar 

  2. Matsuyama, T.: Cooperative distributed vision. In: Proc. of DARPA Image Understanding Workshop, vol. 1, pp. 365–384 (1998)

    Google Scholar 

  3. Onoe, Y., Yamazawa, K., Yokoya, N., Takemura, H.: Visual surveillance and monitoring system using an omnidirectional video camera. In: Proc. of IAPR 14th Int. Conf. on Pattern Recognition, vol. 1, pp. 588–592 (1998)

    Google Scholar 

  4. Ng, K.C., Ishiguro, H., Trivedi, M., Sogo, T.: Monitoring Dynamically Changing Environments by Ubiquitous Vision System. In: Proc. of IEEE Workshop on Visual Surveillance, pp. 67–73 (1999)

    Google Scholar 

  5. Tanahashi, H., Shimada, D., Yamamoto, K., Niwa, Y.: Acquisition of Three- Dimensional Information in Real Environment By Using Stereo Omni-directional System (SOS). In: Proc. IEEE Int. Conf. on 3D Digital Imaging and Modeling, pp. 365–371 (2001)

    Google Scholar 

  6. Satoh, Y., Tanahashi, H., Wang, C., Kaneko, S., Niwa, Y., Yamamoto, K.: Robust Event Detection by Radial Reach Filter (RRF). In: Proc. IAPR Int. Conf. on Pattern Recognition, vol. II, pp. 623–626 (2002)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. HOIP, Softopia Japan and JST, 4–1–7 Kagano, Ogaki, Gifu, 503–8569, Japan

    Hiroki Watanabe, Yutaka Satoh & Yoshinori Niwa

  2. Research Institute of Manufacturing Information Technology, Gifu Prefectural Government, 4–179–19 Sue, Kakamigahara, Gifu, 509–0108, Japan

    Hideki Tanahashi

  3. Faculty of Engineering, Gifu University, 1–1 Yanagido, Gifu, 501–1112, Japan

    Kazuhiko Yamamoto

Authors
  1. Hiroki Watanabe
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Hideki Tanahashi
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Yutaka Satoh
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Yoshinori Niwa
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Kazuhiko Yamamoto
    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, Oxford, United Kingdom

    Vasile Palade

  2. Centre for SMART Systems, School of Environment and Technology, University of Brighton, BN2 4GJ, Brighton, UK

    Robert J. Howlett

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

    Lakhmi Jain

Rights and permissions

Reprints and permissions

Copyright information

© 2003 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Watanabe, H., Tanahashi, H., Satoh, Y., Niwa, Y., Yamamoto, K. (2003). Event Detection for a Visual Surveillance System Using Stereo Omni-directional System. In: Palade, V., Howlett, R.J., Jain, L. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2003. Lecture Notes in Computer Science(), vol 2774. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45226-3_122

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-45226-3_122

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40804-8

  • Online ISBN: 978-3-540-45226-3

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation