Content-based object segmentation in video sequences

C. Tsougarakis, Sethuraman Panchanathan

Research output: Contribution to journalArticle

Abstract

Motivated by the emerging video coding standard MPEG-4, this paper proposes a solution to address the problems of unsupervised object segmentation in images and video sequences, using color information. Although the human visual system is very sensitive to edge information, image segmentation is one of the most fundamental and yet complex tasks in image processing. The correct classification of different elements in a scene into different objects and the accurate extraction of their contours is crucial, since the performance of an object-tracking algorithm relies mainly on the segmentation results. In this paper we propose a novel algorithm for unsupervised object segmentation based on the combination of a region growing algorithm, clustering and a morphological opening by reconstruction operator using the inherent color information present in the image, in order to create a robust segmentation tool.

Original languageEnglish (US)
Pages (from-to)1269-1276
Number of pages8
JournalUnknown Journal
Volume3653
Issue numberII
StatePublished - 1999

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Motion Picture Experts Group standards
Color
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color
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emerging
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ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Condensed Matter Physics

Cite this

Content-based object segmentation in video sequences. / Tsougarakis, C.; Panchanathan, Sethuraman.

In: Unknown Journal, Vol. 3653, No. II, 1999, p. 1269-1276.

Research output: Contribution to journalArticle

Tsougarakis, C & Panchanathan, S 1999, 'Content-based object segmentation in video sequences', Unknown Journal, vol. 3653, no. II, pp. 1269-1276.
Tsougarakis, C. ; Panchanathan, Sethuraman. / Content-based object segmentation in video sequences. In: Unknown Journal. 1999 ; Vol. 3653, No. II. pp. 1269-1276.
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