| 引用本文: | 罗诗途,张玘,王艳玲,等.一种基于特征匹配的实时电子稳像算法.[J].国防科技大学学报,2005,27(3):45-48 ，109.[点击复制] |
| LUO Shitu,ZHANG Qi,WANG Yanling,et al.A Real-time Electronic Image Stabilizing Algorithm Based on Feature Matching[J].Journal of National University of Defense Technology,2005,27(3):45-48 ，109[点击复制] |
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| 一种基于特征匹配的实时电子稳像算法 |
| 罗诗途, 张玘, 王艳玲, 罗飞路 |
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(国防科技大学 机电工程与自动化学院，湖南 长沙 410073)
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| 摘要: |
| 为了实时地稳定摄像系统的输出视频，提出了一种基于特征匹配的实时电子稳像算法。将改进的Kanade-Lucas-Tomasi(KLT)算法用于特征提取，并提出一种新的基于灰度投影均值的特征匹配算法。为了保证稳像结果的鲁棒性，还给出了特征的有效性检验方法。另外，基于高实时性对运动滤波算法的要求，在有意运动参数估计中采用了递归Kalman滤波法。实验表明，在微机上稳定单帧图像仅需24.7ms，能够满足实时性要求，且具有良好的稳像效果。 |
| 关键词: 电子稳像 KLT特征提取 特征匹配 特征有效性检验 递归Kalman滤波 |
| DOI： |
| 投稿日期：2004-12-19 |
| 基金项目:国家自然科学基金资助项目(10376043(A06)) |
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| A Real-time Electronic Image Stabilizing Algorithm Based on Feature Matching |
| LUO Shitu, ZHANG Qi, WANG Yanling, LUO Feilu |
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(College of Mechatronics Engineering and Automation, National Univ. of Defense Technology, Changsha 410073, China)
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| Abstract: |
| In order to stabilize the output video of camera system in good time, a real-time electronic image stabilizing algorithm based on feature matching is presented. The improved Kanade-Lucas-Tomasi (KLT) algorithm is applied to feature extracting, and a new feature matching algorithm based on projection mean is put forward. Considering the reliability of stabilizing results, a feature validation test method is also given. Besides, based on the high real-time demand for motion filtering, the recursive Kalman filtering is applied in intentional motion parameter estimation. As experiments show, the algorithm just takes 24.7ms to stabilize a single image on PC, fast enough to satisfy the real-time demand, and it has good stabilizing results. |
| Keywords: electronic image stabilization KLT feature extracting feature matching feature validation test recursive Kalman filtering |
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