| 一种基于特征跟踪的视频序列稳像算法 |
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| 引用本文： | 史阳,高新波.一种基于特征跟踪的视频序列稳像算法[J].光子学报,2005,34(7):1108-1112. |
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| 作者姓名： | 史阳 高新波 |
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| 作者单位： | 西安电子科技大学电子工程学院,西安,710071;西安电子科技大学电子工程学院,西安,710071 |
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| 基金项目： | 国家自然科学基金（No.60202004）资助项目 |
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| 摘 要： | 提出一种基于特征跟踪的视频序列稳像算法.该算法从视频序列的参考帧中提取出一组角点特征,然后在后续帧中基于模糊Kalman滤波进行特征窗跟踪,通过比较各帧图像中特征窗间的对应关系计算出补偿摄像机运动所必需的参数,使用这些参数将后续帧向参考帧对准,从而得到稳定的视频序列.实验结果表明该算法稳像效果好,运算复杂度低,且具有较强的鲁棒性.
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| 关 键 词： | 稳像算法 角点检测 模糊Kalman滤波 运动估计 运动补偿 |
| 收稿时间： | 2004-05-20 |
| 修稿时间： | 2004年5月20日 |
A Video Stabilization Algorithm Based on Feature Tracking |
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| Shi Yang,GAO Xinbo.A Video Stabilization Algorithm Based on Feature Tracking[J].Acta Photonica Sinica,2005,34(7):1108-1112. |
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| Authors: | Shi Yang GAO Xinbo |
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| Institution: | (School of Electronic Engineering, Xidian University, Xi’an 710071) |
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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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| Keywords: | Video stabilization Corner detection Fuzzy Kalman filtering Motion estimation Motion compensation |
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