基于视觉和粗糙集理论的跟踪系统研究

Research of Tracking System Based on Vision and Rough Set

在分析粗糙集理论的基础上,研究了基于视觉和粗糙集的特定目标检测和跟踪技术。提出了一种基于RGB和HSV两种色彩系统混合实现图像分割,然后采用基于粗糙集理论的控制决策策略,通过实施约简处理得到最小决策规则表指导摄像机实现对目标跟踪的方法。实验结果表明基于该方法的视觉系统具有高效性和鲁棒性。

The technology of the specific object detection and tracking based on the vision and the rough set is investigated. A new method of the object tracking realization by the camera instructed by the minimal decision-making rule is proposed. In this method, the image segmentation is firstly achieved by the blend of the RGB and HSV system, and the control decision-making strategy based on the rough set theory is adopted, then the minimal decision-making rule is obtained by using reduction algorithm of rough set the- ory. The experimental results show that the method is effective and robust.