Abstract
This paper explores a digital image algorithm to stabilize videos recorded from a fixed camera (without stabilized machanical tools) on a small size drone. In particular, this paper focuses on implementation of the Speed-Up Robust Feature (SURF) method. The fundamental concept is to match 2 pictures, one obtained from the current image frame and another from the previous (or reference) frame. The matching process is achieved by locating common keypoints between the current and reference frames and associating them together. Then transformation is then implemented to translate and rotate the current image frame so that keypoints remain in the same position or as close as possible to those of the reference frame. Various video samples are used to validate the SURF method's efficiency. The scenarios include recorded videos under a normal light condition and having partial shadows on the image. The movement due to drone's engine and environmental winds are also under this study. The results indicate that the SURF method can be used to stabilize image frame so that the processed video becomes smoother and more suitable for viewing.
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