一个基于知识的目标跟踪信息处理系统

A Knowledge-Based Information Processing System for Target Tracking

提出了一个基于知识的目标跟踪信息处理系统，系统采用结构化的黑板模型．领域知识不仅用来指导高级的目标识别与跟踪，也用来指导低级的图像分割．研究了一种不确定性知识的表示方法和推理模型，知识用产生式规则和过程表示．实验表明，所提出的方法是切实可行的．基于知识的目标跟踪系统在目标识别、跟踪精度、抗干扰能力和自适应能力等方面比传统方法优越．

A knowledge-based information processing system for target tracking which uses a structured blackboard model is proposed. The domain knowledge guides not only the object recognition of high level but also the image segmentation of low level. A representation method and an inference model for uncertainty knowledge are studied. General knowledge is represented by the production rules and procedures. Computer simulation shows that the scheme is feasible. It is seen from the test that the knowledge-based system performs better than the conventional programming system in those aspects such as target recognition, tracking accuracy, self-adaptation and anti-interference.