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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)

info:eu-repo/grantAgreement/EC/FP7/288273/EU/Persistent Autonomy through Learning, Adaptation, Observation and Re-planning/PANDORA

Institution of Engineering and Technology (IET)

Director: Ministerio de Ciencia e Innovación (Espanya)
Ministerio de Economía y Competitividad (Espanya)
Autor: Mahmood, Muhammad Habib
Salvi, Joaquim
Lladó Bardera, Xavier
Data: 2016
Resum: 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
Accés al document: http://hdl.handle.net/10256/12498
Llenguatge: eng
Editor: Institution of Engineering and Technology (IET)
Col·lecció: info:eu-repo/semantics/altIdentifier/doi/10.1049/el.2015.4163
info:eu-repo/semantics/altIdentifier/issn/0013-5194
info:eu-repo/semantics/altIdentifier/eissn/1350-911X
info:eu-repo/grantAgreement/MICINN//CTM2011-29691-C02-02/ES/ROBOT AUTONOMO SUBMARINO PARA LA INSPECCION Y MONITORIZACION DE EXPLOTACIONES DE ACUICULTURA MARINA/
info:eu-repo/grantAgreement/MINECO//TIN2014-55710-R/ES/HERRAMIENTAS DE NEUROIMAGEN PARA MEJORAR EL DIAGNOSIS Y EL SEGUIMIENTO CLINICO DE LOS PACIENTES CON ESCLEROSIS MULTIPLE/
És part de: info:eu-repo/grantAgreement/EC/FP7/288273/EU/Persistent Autonomy through Learning, Adaptation, Observation and Re-planning/PANDORA
Drets: Tots els drets reservats
Matèria: Imatges -- Processament
Imatges -- Segmentació
Image processing
Imaging segmentation
Visió per ordinador
Computer vision
Títol: Semi-automatic tool for motion annotation on complex video sequences
Tipus: info:eu-repo/semantics/article
Repositori: DUGiDocs

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