摘要
驾驶员"路怒症"是影响安全驾驶的一个重要因素,近年来得到了广泛关注。在情感识别领域,可通过驾驶员表情识别其情感。融合脸部红外信息和深度信息(Infrared-D),提出一种驾驶员路怒表情识别方法,对驾驶员"路怒症"进行识别。实验结果表明,基于PCANet的方法可以提高驾驶员路怒表情识别的准确率,从而更有效地预防交通事故发生。
Driver＇s ＂road rage＂ is now an important factor which affecting safe driving, and has been paid more and more atten tion in recent years. In the field of emotional recognition, the driver＇s expression can he used to identify their emotions. Com- bined with facial infrared information and depth information （Infrared-D）, a method of recognizing the driver~ s road rage expression is presented, and the driver＇s ＂road rage＂ disease is identified. The experimental results show that the method based on PCANet can improve the accuracy of driver＇s road expression recognition, so as to prevent traffic accidents more effectively.
作者
刘鹏
刘峰
LIU Peng LIU Feng(School of Computer Science and Communication Engineering, Jiangsu University, Zhenjiang 212013 ,China)
出处
《软件导刊》
2017年第10期198-201,共4页
Software Guide
基金
江苏省普通高校研究生科研创新计划项目(SJLX5_0496)
