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Motion Compensation

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    Spatio-Temporal Alignment of Non-Overlapping Sequences from Independently Panning Cameras

    Seyed Morteza Safdarnejad, Xiaoming Liu

    We tackle a novel scenario of spatio-temporal alignment of seuqences referred to as Nonoverlapping Sequences (NOS). NOS are captured by multiple freely panning handheld cameras whose field of views (FOV) might have no direct spatial overlap. With the popularity of mobile sensors, NOS rise when multiple cooperative users capture a ...

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    Keywords: Sequence Alignment, Motion Compensation

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    Temporally Robust Global Motion Compensation by Keypoint-based Congealing

    Seyed Morteza Safdarnejad, Yousef Atoum, Xiaoming Liu

    Global motion compensation (GMC) removes the impact of camera motion and creates a video in which the background appears static over the progression of time. Various vision problems, such as human activity recognition, background reconstruction, and multi-object tracking can benefit from GMC. Existing GMC algorithms rely on sequentially processing consecutive ...

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    Keywords: Motion Compensation, Activity Recognition

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    Robust Global Motion Compensation in Presence of Predominant Foreground

    Seyed Morteza Safdarnejad, Xiaoming Liu, Lalita Udpa

    Global motion compensation (GMC) removes intentional and unwanted camera motion. GMC is widely applicable for video stitching and, as a pre-processing module, for motion-based video analysis. While state-of-the-art GMC algorithms generally estimate homography satisfactorily between consecutive frames, their performances deteriorate on real-world unconstrained videos, for instance, videos with predominant foreground ...

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    Keywords: Motion Compensation, Activity Recognition