摘要
近年来,基于数字图象处理的交通事件检测技术应用日益广泛。本文应用了隐马克夫模型进行高速公路上的车辆碰撞预测。本文首先通过车辆跟踪得到车辆的运动信息,然后根据提取的车辆相互运动信息利用HMM模型判断碰撞事件发生的概率。实验证明,该方法有效可行。
In recent years, the technology of traffic incident based on digital image processing is used extensively more and more. This paper has used the Hidden Markov Model to predict the collision on the expressway. Firstly, the movement information is obtained by tracking the vehicle; Then, according to the mutual movement information abstracted, the Hidden Markov Model is applied to judge the probability happening in collision accident and predict the collision. The experiment proves that this method is effective.
出处
《微计算机信息》
北大核心
2007年第02X期19-20,共2页
Control & Automation
关键词
数字图象处理
事件检测
隐马克夫模型
碰撞预测
Digital Image Processing,Accident detection,Hidden Markov Model,Collision Prediction
