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Statistical region selection for robust image stabilization using feature-histogram | IEEE Conference Publication | IEEE Xplore

Statistical region selection for robust image stabilization using feature-histogram


Abstract:

This paper presents a new robust digital image stabilization system, which involves a practical motion model based on a feature-histogram. The feature-histogram is used f...Show More

Abstract:

This paper presents a new robust digital image stabilization system, which involves a practical motion model based on a feature-histogram. The feature-histogram is used for adaptive selection of feasible motion estimation regions. By estimating the representative motion vector in the optimally selected region, the proposed algorithm can robustly remove undesired camera vibration regardless of object's movement. When compared with the traditional methods, experimental results show that the proposed algorithm can improve the performance by 7% with four times faster computation compared with the existing sum-absolute-difference (SAD) based method.
Date of Conference: 07-10 November 2009
Date Added to IEEE Xplore: 17 February 2010
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Conference Location: Cairo

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