鲁棒数字图像稳定使用特征跟踪

2009 Digest of Technical Papers International Conference on Consumer Electronics Pub Date : 2009-05-29 DOI:10.1109/ICCE.2009.5012257

Chuntao Wang, Jin-Hyung Kim, Keun-Yung Byun, S. Ko

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引用次数: 2

摘要

提出了一种新的鲁棒数字稳像算法，该算法利用跟踪良好的特征点来估计连续两帧之间的运动。卡尔曼滤波的运动预测被整合到Kanade-Lucas-Tomasi (KLT)跟踪器中，进一步加快了跟踪过程。提出了一种自适应更新卡尔曼滤波器的新方案。仿真结果表明，该算法可以加快跟踪速度，获得更稳定的跟踪性能。

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Robust digital image stabilization using feature tracking

This paper presents a new robust digital image stabilization (DIS) algorithm which uses well-tracked feature points to estimate the motion between two consecutive frames. The motion prediction with the Kalman filter is incorporated into the Kanade-Lucas-Tomasi (KLT) tracker to further speed up the tracking process. A new scheme is proposed to adaptively update the Kalman filter. Simulation results show that the proposed algorithm can speed up the tracking process and obtain more stabilized performance.

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2009 Digest of Technical Papers International Conference on Consumer Electronics

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