Real-Time Video Stabilization Based on Smoothing Feature Trajectories
2014 ◽
Vol 519-520
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pp. 640-643
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Keyword(s):
In this paper, a real-time video stabilization algorithm based on smoothing feature trajectories is proposed. For each input frame, our approach generates multiple feature trajectories by performing inter-frame template match and optical flow. A Kalman filter is then performed to smooth these feature trajectories. Finally, at the stage of image composition, the motion consistency of the feature trajectory is considered for achieving a visually plausible stabilized video. The proposed method can offer real-time video stabilization and its removed the delays for caching coming images. Experiments show that our approach can offer real-time stabilizing for videos with various complicated scenes.
2018 ◽
Vol 47
(1)
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pp. 110002
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2017 ◽
Vol 16
(6)
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pp. 1975-1985
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Keyword(s):
2014 ◽
Vol 596
◽
pp. 316-321
Keyword(s):
2013 ◽
pp. 164-169
Keyword(s):
Keyword(s):
2019 ◽
Vol 70
◽
pp. 146-157
2022 ◽
Vol 162
◽
pp. 108026
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