一种基于特征点的快速跟踪算法

目标跟踪技术是视频检测技术中一个十分重要的组成部分,为此,提出一种基于特征点的快速跟踪算法。该方法避免了困难的目标分割过程。采用两次帧差共同确定角点选择区域,利用Moravec算法提取合适角点;采用一种特别设计的包含不平滑区域的结构化模板获取更好的匹配点;利用预测点缩小搜索范围,降低计算复杂度和时间复杂度。实验证明该算法能够快速实现目标的实时跟踪,跟踪准确度高,对不同的场景都具有良好的鲁棒性。

Fast tracking algorithm based on feature points

Target tracking technique is a very important part of video detection technology, for this reason, the paper proposes a fast tracking algorithm based on feature points without difficult image segmentation procedure. Two images gotten by frame difference are used to identify areas that are suited to extract corner, and feature points are extracted using an improved Moravec algorithm. A specially designed template with no-smooth areas from the corner neighborhood is used to track the feature points through the image sequences. It can get better matching point. Forecasting matching points are used to decrease searching range, reduce the computational complexity and time complexity. Experiments show this algorithm can quickly achieve the real-time tracking to targets. The tracking results have high accuracy and good robustness to different conditions.