Video stabilization in real-time using computationally...

Pulse or digital communications – Bandwidth reduction or expansion – Television or motion video signal

Reexamination Certificate

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C375S240260

Reexamination Certificate

active

08054881

ABSTRACT:
Real-time image stabilization using computationally efficient corner detection and correspondence is provided. The real-time image stabilization performs a scene learning process on a first frame of an input video to obtain reference features and a detection threshold value. The presence of jitter is determined in a current frame of the input video by comparing features of the current frame against the reference features using the detection threshold value. If the current frame is found to be unstable, corner points are obtained from the current frame. The obtained corner points are matched against reference corner points of the reference features. If the number of matched corner points is not less than a match point threshold value, the current frame is modeled using random sample consensus. The current frame is corrected to compensate for the jitter based on the results of the modeling.

REFERENCES:
patent: 2008/0231706 (2008-09-01), Connell et al.
patent: 2009/0060277 (2009-03-01), Zhang et al.
Marcenaro, L.; Vernazza, G.; Regazzoni, C.S.; , “Image stabilization algorithms for video-surveillance applications ,” Image Processing, 2001. Proceedings. 2001 International Conference on , vol. 1, no., pp. 349-352 vol. 1, 2001 doi: 10.1109/ICIP.2001.959025 URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=959025&isnumber=20726.

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