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Precise foreground detection algorithm using motion estimation, minima and maxima inside the foreground object

  • Muhammad Nawaz
    ,
  • John Cosmas
    ,
  • Pavlos I. Lazaridis
    ,
  • Zaharias D. Zaharis
    ,
  • Yue Zhang
    ,
  • Hamdullah Mohib
Research Output: Contribution to journal Article Peer-review

Abstract

In this paper the precise foreground mask is obtained in a complex environment by applying simple and effective methods on a video sequence consisting of multi-colour and multiple foreground object environment. To detect moving objects we use a simple algorithm based on block-based motion estimation, which requires less computational time. To obtain a full and improved mask of the moving object, we use an opening-and-closing-by-reconstruction mechanism to identify the minima and maxima inside the foreground object by applying a set of morphological operations. This further enhances the outlines of foreground objects at various stages of image processing. Therefore, the algorithm does not require the knowledge of the background image. That is why it can be used in real world video sequences to detect the foreground in cases where we do not have a background model in advance. The comparative performance results demonstrate the effectiveness of the proposed algorithm.

Publication Information

Output type

Research Output: Contribution to journal Article Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 725-731

Journal (Volume, Issue Number)

IEEE Transactions on Broadcasting (Volume 59, Issue 4)

Publication milestones

  • Published - 01/01/2013

Publication status

Published - 01/01/2013

ISSN

0018-9316

External Publication IDs

  • handle.net: 10547/335956
  • Scopus: 84890551428

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