计算机科学 ›› 2016, Vol. 43 ›› Issue (8): 282-285.doi: 10.11896/j.issn.1002-137X.2016.08.057
牛耕田,王昌明,孟红波
NIU Geng-tian, WANG Chang-ming and MENG Hong-bo
摘要： 针对疲劳驾驶严重威胁道路交通安全的问题,提出了一种基于多尺度稀疏表示的面部疲劳识别算法。该算法首先通过Gabor小波获取面部多尺度多方向的疲劳特征；然后采用2D-PCA方法对提取的特征进行降维处理,提高算法的执行效率；最后通过稀疏表示的方法构造疲劳的超完备字典并完成疲劳识别。实验在自建的疲劳数据库中完成,结果显示所提算法的疲劳识别率达到94.5%,具有一定的可行性。
| [1] Piazzi A,Guarino C,Bertozzi M,et al.Quintic G2-splines for the Iterative Steering of Vision-based Autonomous Vehicles[J].IEEE Transactions On Intelligent Transportation System,2002,3(2):27-36 [2] Chen Yong,Huang Qi,Liu Xia,et al.All-weather detectionmethod of driver fatigue[J].Chinese Journal of Scientific Instrument,2009,30(3):636-640(in Chinese) 陈勇,黄琦,刘霞,等.一种全天候驾驶员疲劳检测方法研究[J].仪器仪表学报,2009,30(3):636-640 [3] Wang Qiong,Yang Jing-yu,Ren Ming-wu.Driver Fatigue Detection:A Survey[C]∥Proceedings of the 6th World Congress on Intelligent Control and Automation.2006:21-23 [4] Han Cui-yin,Zhang Cui-qing.Fatigue driving deteciton system implement based on PERCLOS[J].Journal of Inner Mongolia Agricultural University,2012,33(4):202-206(in Chinese) 韩翠英,张翠青.基于PERCLOS的疲劳驾驶检测系统的实现[J].内蒙古农业大学学报,2012,33(4):202-206 [5] Yang Qiu-fen,Gui Wei-hua,et al.Gabor wavelet optimization and HMM algorithm in eye state fatigue recognition[J].Computer Engineering and Applications,2014,50(15):13-17(in Chinese) 杨秋芬,桂卫华,等.Gabor小波优化HMM算法的眼部疲劳状态识别[J].计算机工程与应用,2014,50(15):13-17 [6] Wang Xue-song,Li Fei-hu.Eye Indicators and Drowsy Level Analysis Based on Driving Simulator[J].Journal of Tongji University,2015,43(2):226-232(in Chinese) 王雪松,李飞虎.基于驾驶模拟实验的眼部指标与疲劳分级[J].同济大学学报,2015,43(2):226-232 [7] Sigari M H.Driver Hypo-vigilance Detection Based on Eyelid Behavior[C]∥The 7th International Conference on Advances in Pattern Recognition.2009:426-429 [8] Wang T,Shi P.Yawning detection for determining driver drowsi-ness[C]∥IEEE International Workshop on VLSI Design and Video Technology.2005:373-376 [9] Chu J,Jin L,Tong B,et al.A Monitoring Method of Driver Mouth Behavior Based on Machine Vision[C]∥2004 IEEE Intelligent Vehicles Symposium.2004:351-356 [10] Li Shao-wen,Wang Jiang-bo.Research on driver fatigue detection system[J].Computer Engineering and Applications,2013,49(15):253-258(in Chinese) 李绍文,王江波.驾驶员疲劳检测系统研究[J].计算机工程与应用,2013,49(15):253-258 [11] Chen Yun-hua,Yu Yong-quan,Zhang Ling,et al.Mental Fatigue Recognition Extension Model Based on Facial Visual Cues[J].Computer Science,2013,40(2):284-288(in Chinese) 陈云华,余永权,张灵,等.基于面部视觉特征的精疲劳可拓辨识模型[J].计算机科学,2013,40(2):284-288 [12] Daugman J G.Uncertainty relation for resolution in space,spatial frequency,and orientation optimized by two-dimensional vi-sual cortical filters[J].Journal of the Optical Society of America,1985,2(7):1160-1169 [13] Zhang W,Shan S,Gao W,et al.Local Gabor binary pattern histogram sequence (LGBPHS):A novel non-statistical model for face representation and recognition[J].International Conference on Computer Vision,2005,1:786-791 [14] Liu C,Wechsler H.Gabor feature based classification using the enhanced Fisher linear discriminant model for face recognition[J].IEEE Transaction on Image Processing,2002,11(4):467-476 [15] Yang J,Zhang D.Two-dimensional PCA:A New Approach toAppearance-based FaceRepresentation and Recognition [J].IEEE Trans.on Pattern Analysis and Machine Intelligence,2004,26(1):131-137 [16] Ramamoorthi R.Analytic PCA construction for theoretical ana-lysis of lighting variability in images of a Lambertian object[J].IEEE PAMI,2002,24(10):1322-1333 [17] Plumbley M D,Abdallah S A,Blumensath T.Musical audio analysis using sparse representations[C]∥Proceedings in Computational Statistics.2005:104-117 |
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