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The output labels generated by the system were compared against manually annotated ground truth obtained for Cape Town cohort.
The manually annotated ground truths are used for fine tuning the candidate extraction method and also training the SVM classifiers.
In [34] we evaluated our algorithm to detect moving sub-groups of firefighters during the described training scenario by comparing the results to a manually annotated ground truth.
Within a test set of 11 male-female courtship videos with manually annotated ground truth, the introduced local methods scored 90% to 95% of the cases correctly, the combining meta-methods correctly assigned about 99% and the optimization approach assigned up to 99.62% of occlusions correctly.
Average values for all performance metrics considered were high when comparing the outputs of our algorithm with manually annotated ground truths images and were generally higher and less variable than those obtained for a recently described PCM segmentation algorithm (Topman et al., 2011) (Table I).
We call the manually annotated ground truth as the annotated subset, and the automatically generated masks as the real subset.
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For ground-truth based localization error, a straightforward way to assess landmarking performances is to use manually annotated ground-truths.
A straightforward way to assess landmark detection and landmark localization performances is to use manually annotated ground-truths.
The former contains 587 notes that are manually annotated as the ground truth.
The chamber videos were preprocessed, tracked, postprocessed and manually annotated to establish a ground truth.
In the first experiment, we used the ASOD [34] dataset comprised of input frames, a background frame, and the corresponding ground truth (manually annotated and automatically generated inaccurate masks) of static foreground from PETS2006 [35] , PETS2007 [36] , AVSS2007 [27]CVSG [37], VISOR [38], CANDELA [39], and WCAM [40].
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