Fatigue Detection based on Regional Local Binary Patterns Histogram and Support Vector Machine

摘要：

Driver fatigue detection is a challenging problem in intelligent transportation system. The detection accuracy suffered by different illumination. This paper proposed a fatigue detection method based on regional local binary patterns histogram (RLBPH) and support vector machine (SVM). Firstly, we division the face image into blocks, then using local binary patterns(LBP) operator to present each block and calculating the LBP histogram(LBPH) of each block, then combine them into a RLBPH to present the face image. We used the fatigue face sample RLBPH feature and normal face sample RLBPH feature to train the SVM to get its model and the parameters. We input the RLBPH feature of the testing sample to the trained models, thus can classify the RLBPH feature of the testing sample. In our experiments we observe that RLBPH features perform stably and robustly on different illumination, and yield promising performance in low-resolution images captured from webcam.

关键词： fatigue detection RLBPH SVM

作者: Haiyan Yang Xinhua Jiang Yonghui Zhang Lei Wang

作者单位: Information Science and Technology School Central South University Changsha China Department of computer and information science FuJian University of Technology fuzhou, China

会议类型: 国际会议

会议名称: 2012 International Conference on Computer Science and Electronic Engineering(2012 IEEE计算机科学与电子工程国际会议 ICCSEE 2012)

会议地点: 杭州

会议语种:英文

页码: 628-631

在线出版日期: 2012-03-23（万方平台首次上网日期，不代表论文的发表时间）