Adaptive video background replacement

Baoxin Li, M. Ibrahim Sezan

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

11 Scopus citations

Abstract

A video background replacement algorithm is proposed, which is based on background subtraction with adaptive background modeling. Like one early work ([1]) in this direction, it does not require a blue screen but needs only a pre-recorded background scene image. The problem is formulated as one that detects statistical outliers with respect to the given background. A twopass process, which refines initial segmentation based on the statistics on a pixel's neighborhood, is adopted in order to suppress false positives in the background region while increasing detection rate for the foreground object. Experiments with real image sequences are presented, along with comparisons with some other existing methods, illustrating the advantages of the proposed algorithm.

Original languageEnglish (US)
Title of host publicationProceedings - IEEE International Conference on Multimedia and Expo
PublisherIEEE Computer Society
Pages269-272
Number of pages4
ISBN (Electronic)0769511988
DOIs
StatePublished - Jan 1 2001
Externally publishedYes
Event2001 IEEE International Conference on Multimedia and Expo, ICME 2001 - Tokyo, Japan
Duration: Aug 22 2001Aug 25 2001

Publication series

NameProceedings - IEEE International Conference on Multimedia and Expo
ISSN (Print)1945-7871
ISSN (Electronic)1945-788X

Other

Other2001 IEEE International Conference on Multimedia and Expo, ICME 2001
CountryJapan
CityTokyo
Period8/22/018/25/01

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications

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  • Cite this

    Li, B., & Sezan, M. I. (2001). Adaptive video background replacement. In Proceedings - IEEE International Conference on Multimedia and Expo (pp. 269-272). [1237708] (Proceedings - IEEE International Conference on Multimedia and Expo). IEEE Computer Society. https://doi.org/10.1109/ICME.2001.1237708