Loading...
Loading...

Go to the content (press return)

Real-time model-based video stabilization for microaerial vehicles

Author
Aguilar, W. G.; Angulo, C.
Type of activity
Journal article
Journal
Neural processing letters
Date of publication
2016-04
Volume
43
Number
2
First page
459
Last page
477
DOI
https://doi.org/10.1007/s11063-015-9439-0 Open in new window
Repository
http://hdl.handle.net/2117/101572 Open in new window
URL
http://link.springer.com/article/10.1007%2Fs11063-015-9439-0 Open in new window
Abstract
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...
Citation
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.
Keywords
Kalman filter, Micro aerial vehicles, Modelling, Motion intention, RANSAC, Real-time, Video stabilization
Group of research
GREC - Knowledge Engineering Research Group
IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Center

Participants

Attachments