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光子学报  2005 

A Video Stabilization Algorithm Based on Feature Tracking
一种基于特征跟踪的视频序列稳像算法

Keywords: Video stabilization,Corner detection,Fuzzy Kalman filtering,Motion estimation,Motion compensation
稳像算法
,角点检测,模糊Kalman滤波,运动估计,运动补偿

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Abstract:

A video stabilization algorithm is presented based on the feature window tracking. First, the proposed algorithm extracts the corner-points as feature from the specified reference frame. Then, based on the fuzzy Kalman filtering, the extracted features are tracked with window-matching method from the succeed frames. By registering the corresponding feature windows, the motion parameters of the camera can be calculated between the reference frame and succeed frames. Finally, vibration of images due to camera shake is stabilized with motion compensation. The experimental results illustrate that the proposed algorithm is effective and robust with low computational complexity.

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