@article{ ISI:000222050700007,
Author = {Erdem, CE and Sankur, B and Tekalp, AM},
Title = {{Performance measures for video object segmentation and tracking}},
Journal = {{IEEE TRANSACTIONS ON IMAGE PROCESSING}},
Year = {{2004}},
Volume = {{13}},
Number = {{7}},
Pages = {{937-951}},
Month = {{JUL}},
Abstract = {{We propose measures to evaluate quantitatively the performance of video
   object segmentation and tracking methods without ground-truth (GT)
   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 predecessors. They can be used to
   localize (spatially and/or temporally) regions where segmentation
   results are good or bad; and/or they can be 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 GT have been demonstrated by canonical
   correlation analysis with another set of measures with GT on a set of
   sequences (where GT information is available). Experimental results are
   presented to evaluate the segmentation maps obtained from various
   sequences using different segmentation approaches.}},
DOI = {{10.1109/TIP.2004.828427}},
ISSN = {{1057-7149}},
ResearcherID-Numbers = {{Eroglu Erdem, Cigdem/J-4216-2012}},
ORCID-Numbers = {{Eroglu Erdem, Cigdem/0000-0002-9264-5652}},
Unique-ID = {{ISI:000222050700007}},
}

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