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...
| Autores: | , , |
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| Formato: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2016 |
| País: | España |
| Recursos: | Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya) |
| Repositorio: | Recercat. Dipósit de la Recerca de Catalunya |
| OAI Identifier: | oai:recercat.cat:10256/12498 |
| Acesso em linha: | http://hdl.handle.net/10256/12498 |
| Access Level: | acceso embargado |
| Palavra-chave: | Imatges -- Processament Imatges -- Segmentació Image processing Imaging segmentation Visió per ordinador Computer vision |
| Resumo: | 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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