Motion detection with level set-based segmentation

Suk Ho Lee, Nam Seok Choi, Moon Gi Kang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we propose a level set based object detection method for video surveillance which provides for a robust and real-time working object detection under various global illumination conditions. The proposed scheme needs no manual parameter settings for different illumination conditions, which makes the algorithm applicable to automatic surveillance systems. Two special filters are designed to eliminate the spurious object regions that occur due to the CCD noise, making the scheme stable even in very low illumination conditions. We demonstrate the effectiveness of the proposed algorithm experimentally with different illumination conditions, change of contrast, and noise level.

Original languageEnglish
Title of host publicationProceedings of SPIE-IS and T Electronic Imaging - Image Processing
Subtitle of host publicationMachine Vision Applications III
DOIs
Publication statusPublished - 2010
EventImage Processing: Machine Vision Applications III - San Jose, CA, United States
Duration: 2010 Jan 192010 Jan 21

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume7538
ISSN (Print)0277-786X

Other

OtherImage Processing: Machine Vision Applications III
CountryUnited States
CitySan Jose, CA
Period10/1/1910/1/21

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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  • Cite this

    Lee, S. H., Choi, N. S., & Kang, M. G. (2010). Motion detection with level set-based segmentation. In Proceedings of SPIE-IS and T Electronic Imaging - Image Processing: Machine Vision Applications III [75380O] (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 7538). https://doi.org/10.1117/12.839159