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.
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.
出处
《光子学报》
EI
CAS
CSCD
北大核心
2005年第7期1108-1112,共5页
Acta Photonica Sinica
基金
国家自然科学基金(No.60202004)资助项目
关键词
稳像算法
角点检测
模糊Kalman滤波
运动估计
运动补偿
Video stabilization
Corner detection
Fuzzy Kalman filtering
Motion estimation
Motion compensation
