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mproved Block-based Background Modeling Using Adaptive Parameter Estimation

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2011, 16(4), pp.75-84
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

김한준 1 이영현 1 송태엽 1 Bonhwa Ku 1 Hanseok Ko 1

1고려대학교

Accredited

ABSTRACT

In this paper, an improved block-based background modeling technique using adaptive parameter estimation that judiciously adjusts the number of model histograms at each frame sequence is proposed. The conventional block-based background modeling method has a fixed number of background model histograms, resulting to false negatives when the image sequence has either rapid illumination changes or swiftly moving objects, and to false positives with motionless objects. In addition, the number of optimal model histogram that changes each type of input image must have found manually. We demonstrate the proposed method is promising through representative performance evaluations including the background modeling in an elevator environment that may have situations with rapid illumination changes, moving objects, and motionless objects.

Citation status

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