摘要
灰度图像色彩信息贫乏,背景噪声不易抑制,会导致分割误差大,使跟踪点发生漂移.针对此问题,提出了基于改变图像分辨率的红外目标跟踪算法.以减小图像分辨率的方法,采用逐点匹配,对下一帧图像进行目标9种方向的跟踪判断.实验结果表明,采用该算法运算速度快,解决了在强背景噪声的情况下跟踪点发生漂移的问题.
An algorithm based on reduced resolution for tracking infrared target is proposed in order to resolve the problem of tracking point shift, which comes from partial similarity between target and its background due to lack of color information in the gray images. The new algorithm employs point-by-point matching to judge the 9 kinds of directions of target to the next image. Test results show that the new algorithm can significantly improve the tracking stability for gray targets in the strong background noise situation and can extract moving target on real-time.
出处
《应用科技》
CAS
2007年第3期54-56,共3页
Applied Science and Technology
关键词
红外
目标跟踪
分辨率
相似度匹配
infrared
target tracking
resolution
degree of similarity matching
