
Proceedings Paper
Performance measures for video object segmentation and trackingFormat | Member Price | Non-Member Price |
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Paper Abstract
We propose measures to evaluate the performance of video object segmentation and tracking methods quantitatively without
ground-truth segmentation maps. The proposed measures are based on
spatial differences of color and motion along the boundary of the
estimated video object plane and temporal differences between the
color histogram of the current object plane and its neighbors.
They can be used to localize (spatially and/or temporally) regions
where segmentation results are good or bad; and/or combined to
yield a single numerical measure to indicate the goodness of the
boundary segmentation and tracking results over a sequence. The
validity of the proposed performance measures without ground
truth have been demonstrated by canonical correlation analysis of
the proposed measures with another set of measures it with
ground-truth on a set of sequences (where ground truth
information is available). Experimental results are presented to
evaluate the segmentation maps obtained from various sequences
using different segmentation and tracking algorithms.
Paper Details
Date Published: 23 June 2003
PDF: 12 pages
Proc. SPIE 5150, Visual Communications and Image Processing 2003, (23 June 2003); doi: 10.1117/12.509859
Published in SPIE Proceedings Vol. 5150:
Visual Communications and Image Processing 2003
Touradj Ebrahimi; Thomas Sikora, Editor(s)
PDF: 12 pages
Proc. SPIE 5150, Visual Communications and Image Processing 2003, (23 June 2003); doi: 10.1117/12.509859
Show Author Affiliations
Published in SPIE Proceedings Vol. 5150:
Visual Communications and Image Processing 2003
Touradj Ebrahimi; Thomas Sikora, Editor(s)
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