Abstract
In recent times, micro aerial vehicles (MAVs) are becoming popular for several applications as rescue, surveillance, mapping, etc. Undesired motion between consecutive frames is a problem in a video recorded by MAVs. There are different approaches, applied in video post-processing, to solve this issue. However, there are only few algorithms able to be applied in real time. An additional and critical problem is the presence of false movements in the stabilized video. In this paper, we present a new approach of video stabilization which can be used in real time without generating false movements. Our proposal uses a combination of a low-pass filter and control action information to estimate the motion intention.
Highlights
The growing interest in developing unmanned aircraft vehicles (UAVs) is due to their versatility in several applications such as rescue, transport, or surveillance
After conducting an initial study of motion smoothing methods, it has been experimentally checked that the low-pass filter has a high performance as algorithm for motion intention estimation, eliminating undesired movements
This method can be optimized using a lower number of frames without decreasing the inter-frame transformation fidelity (ITF) measure, as we have presented in this paper
Summary
The growing interest in developing unmanned aircraft vehicles (UAVs) is due to their versatility in several applications such as rescue, transport, or surveillance. A particular type of UAV that becomes popular nowadays are micro aerial vehicles (MAVs) by their advantage to fly in closed and reduced spaces. Undesired movements are usually generated during the fly as a result of complex aerodynamic characteristics of the UAV. There are multiple techniques in the literature [2,3,4,5] designed to compensate the effects of undesired movements of the camera. The video stabilization algorithm ‘L1 Optimal’ provided by the YouTube editor was introduced in [6]. Another interesting proposal is the Parrot’s Director Mode, implemented as an iOS application (iPhone operative system) for post-processing of videos captured with Parrot’s AR.Drones
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