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Descripción

Moving objects pose a challenge to every video stabilization algorithm. We present a novel, efficient filtering technique that manages to remove outlier motion vectors caused from moving objects in a per-pixel smoothing setting. We leverage semantic information to change the calculation of optical flow, forcing the outliers to reside in the edges of our semantic mask. After a `content-preserving warping' and a smoothing step we manage to produce stable and artifact-free videos.

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Autor(es)

Karageorgos, K. -  Dimou, A. -  Axenopoulos, A. -  Daras, P. -  Álvarez García, Federico - 

Id.: 71379183

Idioma: eng  - 

Versión: 1.0

Estado: Final

Tipo:  application/pdf - 

Palabras claveRobótica e Informática Industrial - 

Tipo de recurso: info:eu-repo/semantics/conferenceObject  -  Ponencia en Congreso o Jornada  -  PeerReviewed  - 

Tipo de Interactividad: Expositivo

Nivel de Interactividad: muy bajo

Audiencia: Estudiante  -  Profesor  -  Autor  - 

Estructura: Atomic

Coste: no

Copyright: sí

: http://creativecommons.org/licenses/by-nc-nd/3.0/es/

Formatos:  application/pdf - 

Requerimientos técnicos:  Browser: Any - 

Relación: [IsBasedOn] IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS 2017) | IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS 2017) | 29/08/2017 - 01/09/2017 | Lecce, Italy
[References] https://ieeexplore.ieee.org/document/8078488/
[References] info:eu-repo/semantics/altIdentifier/doi/10.1109/AVSS.2017.8078488

Fecha de contribución: 07-jun-2018

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