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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 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

This work was supported by the FP7-ICT-2011-7 project PANDORA (Ref 288273), RAIMON (Ref CTM2011-29691- C02-02) and NICOLE (Ref TIN2014-55710-R)

漏 Electronics Letters, 2016, vol. 52, n煤m. 8, p. 602-604

Institution of Engineering and Technology (IET)

Author: Mahmood, Muhammad Habib
Salvi, Joaquim
Llad贸 Bardera, Xavier
Date: 2016
Abstract: 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
This work was supported by the FP7-ICT-2011-7 project PANDORA (Ref 288273), RAIMON (Ref CTM2011-29691- C02-02) and NICOLE (Ref TIN2014-55710-R)
Format: application/pdf
ISSN: 0013-5194 (versi贸 paper)
1350-911X (versi贸 electr貌nica)
Document access: http://hdl.handle.net/10256/12498
Language: eng
Publisher: Institution of Engineering and Technology (IET)
Collection: MICINN/PN 2012-2014/CTM2011-29691-C02-02
MINECO/PE 2015-2017/TIN2014-55710-R
Reproducci贸 digital del document publicat a: http://dx.doi.org/10.1049/el.2015.4163
Articles publicats (D-ATC)
info:eu-repo/grantAgreement/EC/FP7/288273
Is part of: 漏 Electronics Letters, 2016, vol. 52, n煤m. 8, p. 602-604
Rights: Tots els drets reservats
Subject: Imatges -- Processament
Imatges -- Segmentaci贸
Image processing
Imaging segmentation
Visi贸 per ordinador
Computer vision
Title: Semi-automatic tool for motion annotation on complex video sequences
Type: info:eu-repo/semantics/article
Repository: DUGiDocs

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