Robust object segmentation using probability-based background extraction algorithm

Chung Cheng Chiu*, Li Wey Liang, Min Yu Ku, Bing-Fei Wu, Yu Chyun Luo

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

This paper proposes a robust object segmentation by the means of the probability-based background extraction algorithm. The color background images can be extracted efficiently and quickly from color image sequences by the proposed background extraction algorithm. After the background extraction algorithm, the intrusive objects can be segmented correctly and immediately by the robust object segmentation. The background extraction algorithm calculates the color probabilities of each pixel and uses a convergent value to decide the background pixel color, whose probability is the maximum one and greater than the convergent value. The extracted background is updated in real-time to overcome the variation of the illuminative condition. Experimental results using different types of video sequences are presented to demonstrate the robustness, accuracy, and time responses of the proposed algorithm.

Original languageEnglish
Title of host publicationProceedings of the IASTED International Conference on Graphics and Visualization in Engineering, GVE 2007
Pages25-30
Number of pages6
DOIs
StatePublished - 1 Dec 2007
Event2007 IASTED International Conference on Graphics and Visualization in Engineering, GVE 2008 - Clearwater, FL, United States
Duration: 3 Jan 20075 Jan 2007

Publication series

NameProceedings of the IASTED International Conference on Graphics and Visualization in Engineering, GVE 2007

Conference

Conference2007 IASTED International Conference on Graphics and Visualization in Engineering, GVE 2008
CountryUnited States
CityClearwater, FL
Period3/01/075/01/07

Keywords

  • Background extraction
  • Object segmentation

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