摘要
施工区中部分作业人员安全意识缺乏,不佩戴安全帽作业情况时有发生。采用机器视觉的相关方法对安全帽自动识别技术进行深入研究,在图像预处理基础上,首先利用混合高斯模型进行前景检测,然后通过对连通域的处理判断其是否属于人体,最后在定位到的人体头部区域实现安全帽的自动识别。施工区实地实验结果表明,该方法准确率高、环境适应性强,适于在施工区推广应用。
Due to the lack of safety awareness of workers in the construction area, the workers often do not wear the safety helmet. In view of this situation, it uses the method of machine vision to develop the automatic identifi- cation technology of safety helmet. Based on image preproeessing, it mixtures Gaussian model to detect the fore- ground, then determines the connected domain to judge whether it belongs to the human body or not. Finally, it locates the head region of human and realizes the automatic recognition of safety helmet. The result of construc- tion field experiments shows that the method is of high accuracy and good environment adaptability, and is suit- able for application in the construction area.
出处
《机械设计与制造工程》
2015年第10期39-42,共4页
Machine Design and Manufacturing Engineering
关键词
施工区
机器视觉
安全帽识别
construction area
machine vision
safety helmet identification
