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Real-time model-based video stabilization for microaerial vehicles

Autor
Aguilar, W. G.; Angulo, C.
Tipus d'activitat
Article en revista
Revista
Neural processing letters
Data de publicació
2016-04
Volum
43
Número
2
Pàgina inicial
459
Pàgina final
477
DOI
https://doi.org/10.1007/s11063-015-9439-0 Obrir en finestra nova
Repositori
http://hdl.handle.net/2117/101572 Obrir en finestra nova
URL
http://link.springer.com/article/10.1007%2Fs11063-015-9439-0 Obrir en finestra nova
Resum
The emerging branch of micro aerial vehicles (MAVs) has attracted a great interest for their indoor navigation capabilities, but they require a high quality video for tele-operated or autonomous tasks. A common problem of on-board video quality is the effect of undesired movements, so different approaches solve it with both mechanical stabilizers or video stabilizer software. Very few video stabilizer algorithms in the literature can be applied in real-time but they do not discriminate at all be...
Citació
Aguilar, W. G., Angulo, C. Real-time model-based video stabilization for microaerial vehicles. "Neural processing letters", Abril 2016, vol. 43, núm. 2, p. 459-477.
Paraules clau
Kalman filter, Micro aerial vehicles, Modelling, Motion intention, RANSAC, Real-time, Video stabilization
Grup de recerca
GREC - Grup de Recerca en Enginyeria del Coneixement
IDEAI-UPC Intelligent Data Science and Artificial Intelligence

Arxius