一种新的基于聚类决策的码本更新算法

A New Codebook-updated Algorithm Based on Clustering Decision

在计算机视觉领域中,码本算法是一种通过记录背景颜色值范围构成背景模型,以此提取出视频中运动目标的算法,由于码本背景模型的学习需要花费一段时间,并且对于背景不稳定的场景,需要实时更新,因而造成了运动目标分析效果的下降。文中提出一种新的基于聚类结果进行决策的码本更新算法,该算法通过构建实时的视频帧队列,按相应规则对队列中的顺序帧实时聚类,可以在目标提取的过程中逐步地更新码本,有效地解决了码本更新的实时性问题。实验证明:该方法对不稳定背景环境下的运动目标分析具有较好的效果。

In the field of computer vision, the codebook algorithm is to extract the moving targets in the video through the background model, which is constituted by the background colorvalue ranges. Since the codebook background model＇s learning takes some time, and the unstable background requires any updates in real time,the analysis of the moving targets has the poor results. It presents a new code bookupdated algorithm based on the clustering decision, which through building the video frame queue clusters the frames of the queue in sequence according to the corresponding rules, can update the codebook step by step in the process of object extraction, effectively sol ving the problem of the codebook real time. The results show that the method has good results for analysis of the moving target in the un stable background environment.