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Proceedings Paper

Adaptive segmentation of moving objects versus background for video coding
Author(s): Alessandro Neri; Stefania Colonnese; Giuseppe Russo; C. Tabacco
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Paper Abstract

In this paper we extend a segmentation method aimed at separating the moving objects from the background in a generic video sequence by means of a higher order statistics (HOS) significance test performed on a group of inter-frame differences. The test is followed by the motion detection phase, producing a preliminary binary segmentation map, that is refined by a final regularization stage. The HOS threshold and the temporal extent of the motion detection phase are adaptively changed on the basis of the estimated background activity and of the detected presence of slowly moving objects. The regularization phase, imposing a local connectivity constraint on the background-foreground map by basic morphological operators, plays an important role in eliminating misclassifications due to motion estimation ambiguities, of the original video sequence. The algorithm performance is illustrated by typical results obtained on MPEG4 sequences.

Paper Details

Date Published: 30 October 1997
PDF: 11 pages
Proc. SPIE 3164, Applications of Digital Image Processing XX, (30 October 1997); doi: 10.1117/12.279565
Show Author Affiliations
Alessandro Neri, Univ. of Rome III (Italy)
Stefania Colonnese, Fondazione Ugo Bordoni (Italy)
Giuseppe Russo, Fondazione Ugo Bordoni (Italy)
C. Tabacco, Fondazione Ugo Bordoni (Italy)


Published in SPIE Proceedings Vol. 3164:
Applications of Digital Image Processing XX
Andrew G. Tescher, Editor(s)

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