改进的帧差法在目标匹配中的应用

Improved frame difference algorithm in application of target-matching

目标匹配是计算机视觉领域的研究热点,而视频分割的准确程度决定着目标匹配的准确率。视频分割通常采用二帧差分法,分割得到的区域容易超出目标的实际范围,提供不准确的目标信息。针对此问题提出了一种改进的视频分割算法,利用连续帧间差分结合最小二分之一抽样(LHS)方法准确地定位目标区域,提取目标;同时提出一种倾斜度校正的方法校正倾斜的目标,消除无效分割区域。实验结果表明,该算法能有效地提高目标匹配的精度和速度。

Target-matching is the research hot-spot in the field of computer vision,while the precision of target-matching is profoundly affected by image segmentation.The segmentation method generally used（two frames difference） always leads the segmentation area wider than the target region,so inaccurate information is introduced.In order to handle this problem,this paper proposes an improved video segmentation algorithm based on the difference of continuous sequential frames combined with Least Half Sampling（LHS） method,which helps greatly to locate the target region accurately.Furthermore,a gradient emendation method is put forward to eliminate the invalidate region caused by sloping road surface.The experimental results illustrate that the proposed algorithm improves the precision and speed of target-matching effectively.