Global illumination invariant object detection with level set based bimodal segmentation

Suk Ho Lee, Hyenkyun Woo, Moon Gi Gi Kang

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)

Abstract

In this letter, we propose a new 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 charge coupled device (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, changes in contrast, and noise level.

Original languageEnglish
Article number5401108
Pages (from-to)616-620
Number of pages5
JournalIEEE Transactions on Circuits and Systems for Video Technology
Volume20
Issue number4
DOIs
Publication statusPublished - 2010 Apr

Bibliographical note

Funding Information:
Manuscript received December 8, 2008; revised June 8, 2009. First version published January 29, 2010; current version published April 2, 2010. This work was supported by the IT Research and Development Program of MKE/MCST/IITA (2008-F-031-01, Development of Computational Photography Technologies for Image and Video Contents) and the Basic Science Research Program through the National Research Foundation of Korea, funded by the Ministry of Education, Science and Technology (2009-0079024). This letter was recommended by Associate Editor L. Guan.

All Science Journal Classification (ASJC) codes

  • Media Technology
  • Electrical and Electronic Engineering

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