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Semi-automatic tool for motion annotation on complex video sequences
Ground truth annotation on motion segmentation (MS) datasets of arbitrary real-life videos is a difficult and challenging task. The research community lacks a standard annotation tool for such datasets, which makes it an open research field. Here an annotation tool is proposed for trajectories in co...
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Published in: | Electronics letters 2016-04, Vol.52 (8), p.602-604 |
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Main Authors: | , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Ground truth annotation on motion segmentation (MS) datasets of arbitrary real-life videos is a difficult and challenging task. The research community lacks a standard annotation tool for such datasets, which makes it an open research field. Here an annotation tool is proposed for trajectories in complex videos, which provides a publicly available platform to create and reinforce MS datasets. The user friendly interface allows to refine an initial automatic segmentation result to produce ground truth annotation on all the motions of all the frames of a given sequence. In long videos with multiple rigid/non-rigid motions containing complete occlusion and real distortions, the tool facilitates rapid annotation of motion in a semi-automatic way. |
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ISSN: | 0013-5194 1350-911X 1350-911X |
DOI: | 10.1049/el.2015.4163 |