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  • Research Article
  • Open Access

A Bayesian Approach for Segmentation in Stereo Image Sequences

  • 1Email author,
  • 2 and
  • 1, 2
EURASIP Journal on Advances in Signal Processing20022002:940529

  • Received: 31 August 2001
  • Published:


Stereoscopic image sequence processing has been the focus of considerable attention in recent literature for videoconference applications. A novel Bayesian scheme is proposed in this paper, for the segmentation of a noisy stereoscopic image sequence. More specifically, occlusions and visible foreground and background regions are detected between the left and the right frame while the uncovered-background areas are identified between two successive frames of the sequence. Combined hypotheses are used for the formulation of the Bayes decision rule which employs a single intensity-difference measurement at each pixel. Experimental results illustrating the performance of the proposed technique are presented and evaluated in videoconference applications.


  • Bayesian decision test
  • segmentation
  • stereoscopic video
  • disparity
  • motion

Authors’ Affiliations

Information Processing Laboratory, Electrical and Computer Engineering Department, Aristotle University of Thessaloniki, Thessaloniki, 54006, Greece
Informatics and Telematics Institute, 1st Km Thermi-Panorama Road, Thermi-Thessaloniki, 57001, Greece


© Triantafylllidis et al. 2002