Real-Time Model-Based Video Stabilization for Microaerial Vehicles
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 appr...
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| Veröffentlicht in: | Neural processing letters 2016-04, Vol.43 (2), p.459-477 |
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| container_title | Neural processing letters |
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| creator | Aguilar, Wilbert G. Angulo, Cecilio |
| description | 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 between intentional movements of the tele-operator and undesired ones. In this paper, a novel technique is introduced for real-time video stabilization with low computational cost, without generating false movements or decreasing the performance of the stabilized video sequence. Our proposal uses a combination of geometric transformations and outliers rejection to obtain a robust inter-frame motion estimation, and a Kalman filter based on an ANN learned model of the MAV that includes the control action for motion intention estimation. |
| doi_str_mv | 10.1007/s11063-015-9439-0 |
| format | Article |
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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 between intentional movements of the tele-operator and undesired ones. In this paper, a novel technique is introduced for real-time video stabilization with low computational cost, without generating false movements or decreasing the performance of the stabilized video sequence. 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| ispartof | Neural processing letters, 2016-04, Vol.43 (2), p.459-477 |
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| language | eng |
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| source | Recercat; ProQuest Central UK/Ireland; SpringerLink Journals - AutoHoldings; ProQuest Central |
| subjects | Algorithms Artificial Intelligence Automàtica i control Cameras Complex Systems Computational Intelligence Computer Science Digital video Geometric transformation Indoor navigation Informàtica Kalman filter Kalman filters Micro aerial vehicles Micro air vehicles (MAV) Modelling Motion intention Motion simulation RANSAC Real time Stabilization Unmanned aerial vehicles Video stabilization Vídeo digital Àrees temàtiques de la UPC |
| title | Real-Time Model-Based Video Stabilization for Microaerial Vehicles |
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