Abstract
Technological advances in compact and portable cameras have enabled the generation of large volumes of video sequences. However, videos captured by amateurs are subject to unwanted vibrations due to camera shaking. To overcome such problem, video stabilization aims to remove undesired motion from videos to enhance visual quality, improving applications such as detection and tracking of objects. In this work, we develop and analyze a consensual method for combining a set of local feature techniques for camera motion estimation. Several video sequences are used to evaluate the proposed methodology. Experimental results demonstrate the effectiveness of the combination method over individual local feature approaches.
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