Performance measures for video object segmentation and tracking Export

@article{citeulike:3332144, 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.}, author = {Erdem, C. E. and Sankur, B. and Tekalp, A. M.}, booktitle = {Image Processing, IEEE Transactions on}, citeulike-article-id = {3332144}, citeulike-linkout-0 = {http://dx.doi.org/10.1109/TIP.2004.828427}, citeulike-linkout-1 = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1303646}, doi = {10.1109/TIP.2004.828427}, journal = {Image Processing, IEEE Transactions on}, keywords = {ccitt2}, number = {7}, pages = {937--951}, posted-at = {2008-11-05 05:38:28}, priority = {2}, title = {Performance measures for video object segmentation and tracking}, url = {http://dx.doi.org/10.1109/TIP.2004.828427}, volume = {13}, year = {2004} }

TY - JOUR ID - citeulike:3332144 L3 - citeulike-article-id:3332144 N2 - 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. IS - 7 JF - Image Processing, IEEE Transactions on EP - 951 TI - Performance measures for video object segmentation and tracking VL - 13 T2 - Image Processing, IEEE Transactions on SP - 937 KW - ccitt2 AU - Erdem, CE AU - Sankur, B AU - Tekalp, AM PY - 2004/// UR - http://dx.doi.org/10.1109/TIP.2004.828427 ER -