Gabor-based dynamic representation for human fatigue monitoring in facial image sequences

Human fatigue is an important reason for many traffic accidents. To improve traffic safety, this paper proposes a novel Gabor-based dynamic representation for dynamics in facial image sequences to monitor human fatigue. Considering the multi-scale character of different facial behaviors, Gabor wavel...

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Vydané v:	Pattern recognition letters Ročník 31; číslo 3; s. 234 - 243
Hlavní autori:	Fan, Xiao, Sun, Yanfeng, Yin, Baocai, Guo, Xiuming
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Amsterdam Elsevier B.V 01.02.2010 Elsevier
Predmet:	AdaBoost algorithm Applied sciences Dynamic feature Exact sciences and technology Feature fusion Human fatigue Image processing Information, signal and communications theory Multi-scale Signal and communications theory Signal processing Signal representation. Spectral analysis Signal, noise Telecommunications and information theory Dynamic feature Feature fusion Multi-scale Human fatigue AdaBoost algorithm Discriminant analysis Automatic classification Histogram Image processing Gabor transformation Sex Teletraffic Signal classification Multiscale method Image sequence Traffic safety Learning algorithm Image fusion Monitoring
ISSN:	0167-8655, 1872-7344
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Abstract	Human fatigue is an important reason for many traffic accidents. To improve traffic safety, this paper proposes a novel Gabor-based dynamic representation for dynamics in facial image sequences to monitor human fatigue. Considering the multi-scale character of different facial behaviors, Gabor wavelets are employed to extract multi-scale and multi-orientation features for each image. Then features of the same scale are fused into a single feature according to two fusion rules to extract the local orientation information. To account for the temporal aspect of human fatigue, the fused image sequence is divided into dynamic units, and a histogram of each dynamic unit is computed and combined as dynamic features. Finally, AdaBoost algorithm is exploited to select the most discriminative features and construct a strong classifier to monitor fatigue. The proposed method was tested on a wide range of human subjects of different genders, poses and illuminations under real-life fatigue conditions. Experimental results show the validity of the proposed method, and an encouraging average correct rate is achieved.
AbstractList	Human fatigue is an important reason for many traffic accidents. To improve traffic safety, this paper proposes a novel Gabor-based dynamic representation for dynamics in facial image sequences to monitor human fatigue. Considering the multi-scale character of different facial behaviors, Gabor wavelets are employed to extract multi-scale and multi-orientation features for each image. Then features of the same scale are fused into a single feature according to two fusion rules to extract the local orientation information. To account for the temporal aspect of human fatigue, the fused image sequence is divided into dynamic units, and a histogram of each dynamic unit is computed and combined as dynamic features. Finally, AdaBoost algorithm is exploited to select the most discriminative features and construct a strong classifier to monitor fatigue. The proposed method was tested on a wide range of human subjects of different genders, poses and illuminations under real-life fatigue conditions. Experimental results show the validity of the proposed method, and an encouraging average correct rate is achieved.
Author	Fan, Xiao Yin, Baocai Sun, Yanfeng Guo, Xiuming
Author_xml	– sequence: 1 givenname: Xiao surname: Fan fullname: Fan, Xiao email: wolonghongni@yahoo.cn organization: Beijing Key Laboratory of Multimedia and Intelligent Software, College of Computer Science and Technology, Beijing University of Technology, Beijing 100124, China – sequence: 2 givenname: Yanfeng surname: Sun fullname: Sun, Yanfeng organization: Beijing Key Laboratory of Multimedia and Intelligent Software, College of Computer Science and Technology, Beijing University of Technology, Beijing 100124, China – sequence: 3 givenname: Baocai surname: Yin fullname: Yin, Baocai organization: Beijing Key Laboratory of Multimedia and Intelligent Software, College of Computer Science and Technology, Beijing University of Technology, Beijing 100124, China – sequence: 4 givenname: Xiuming surname: Guo fullname: Guo, Xiuming organization: National Engineering Research Center for Information Technology in Agriculture, Beijing 100097, China
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Keywords	Dynamic feature Feature fusion Multi-scale Human fatigue AdaBoost algorithm Discriminant analysis Automatic classification Histogram Image processing Gabor transformation Sex Teletraffic Signal classification Multiscale method Image sequence Traffic safety Learning algorithm Image fusion Monitoring
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References	Dinges, D.F., Mallis, M., Maislin, G., Powell, J.W., 1998. Evaluation of Techniques for Ocular Measurement as an Index of Fatigue and the Basis for Alertness Management. Department of Transportation Highway Safety Publication, Washington, DC, Technical Report. 808 762. Freund, Schapire (bib11) 1997; 55 Liu, X., Fengliang, X., Fujimura, K., 2002. Real time eye detection and tracking for driver observation under various light conditions. In: Proc. 2002 IEEE Intelligent Vehicle Symposium, Versailles, France. Tong Yan, Liao Wenhui, Ji Qiang, 2007. Facial action unit recognition by exploiting their dynamic and semantic relationships. IEEE Trans. Pattern Anal. Machine Intell. 29 (10), 1683–1699. Miyakawa, T., Takano, H., Nakamura, K., 2004. Development of non-contact real-time blink detection system for doze alarm. In: SICE 2004 Annual Conference, vol. 2, pp. 1626–1631. Wu Ruei-Cheng, Lin Chin-Teng, Liang Sheng-Fu, Huang Teng-Yi, Jung Tzyy-Ping, 2004a. EEG-based fuzzy neural network estimator for driving performance. In: 2004 IEEE Internat. Conf. on Systems, Man and Cybernetics, vol. 4, pp. 4034–4040. Dong Wenhui, Wu Xiaojuan, 2005. Fatigue detection based on the distance of eyelid. In: Proc. 2005 IEEE International Workshop on VLSI Design and Video Technology, pp. 365–368. Zhao, Pietikainen (bib43) 2007; 29 Abdul-Latif, A.A., Cosic, I., Kumar, D.K., Polus, B., Da Costa, C., 2004. Power changes of EEG signals associated with muscle fatigue: The root mean square analysis of EEG bands. In: Proc. 2004 Intelligent Sensors, Sensor Networks and Information Processing Conference, pp. 531–534. Galley, N., Schleicher, R., 2004. Subjective and optomotoric indicators of driver drowsiness. In: The 3rd Internat. Conf. on Traffic and Transport Psychology. Nottingham, UK. Rabiner (bib27) 1989; 77 Lin Chin-Teng, Wu Ruei-Cheng, Liang Sheng-Fu, Chao Wen-Hung, Chen Yu-Jie, Jung Tzyy-Ping, 2005b. EEG-based drowsiness estimation for safety driving using independent component analysis. In: IEEE Transactions on Circuits and Systems I: Regular Papers, 52(12), 2726–2738. Parikh, P., Micheli-Tzanakou, E., 2004. Detecting drowsiness while driving using wavelet transform. In: Proc. IEEE 30th Annual Northeast Bioengineering Conference, pp. 79–80. Li, Chu, Liao, Zhang (bib17) 2007; 29 Miao, Yin, Wang, Shen, Chen (bib23) 1999; 32 Yang Peng, Liu Qingshan, Metaxas, D.N., 2007. Boosting coded dynamic features for facial action units and facial expression recognition. In: IEEE Conf. on Computer Vision and Pattern Recognition, pp. 1–6. Hou Xinwen, Liu ChengLin, Tan Tieniu, 2006. Learning boosted asymmetric classifiers for object detection. In: IEEE Computer Society Conf. on Computer Vision and Pattern Recognition, vol. 1, pp. 330–338. Zhang Wenchao, Shan Shiguang, Gao Wen, Zhang Hongming, 2005. Local Gabor binary pattern histogram sequence (LGBPHS): A novel non-statistical model for face representation and recognition. In: Internat. Conf. on Computer Vision. Beijing, pp. 786–791. Liu, Wechsler (bib20) 2002; 11 Bonato, Heng, Gonzalez-Cueto, Leardini, O’Connor, Roy (bib5) 2001; 20 Schapire, Singer (bib28) 1999; 37 Wang Fei, Qin Huabiao, 2005. A FPGA based driver drowsiness detecting system. In: IEEE Internat. Conf. on Vehicular Electronics and Safety, pp. 358–363. Fan Xiao, Yin Baocai, Sun Yanfeng, 2008. Nonintrusive driver fatigue detection. In: 2008 IEEE Internat. Conf. on Networking, Sensing and Control. Sanya, China, pp. 905–910. Lu Yufeng, Wang Zengcai, 2007. Detecting driver yawning in successive images. In: Proc. 1st Internat. Conf. on Bioinformatics and Biomedical Engineering, pp. 581–583. Bassili (bib2) 1979; 37 Hayashi, K., Ishihara, K., Hashimoto, H., Oguri, K., 2005. Individualized drowsiness detection during driving by pulse wave analysis with neural network. In: Proc. 2005 IEEE Intelligent Transportation Systems, pp. 901–906. Zhu Zhiwei, Ji Qiang, 2004. Real time and non-intrusive driver fatigue monitoring. In: Proc. 7th Internat. IEEE Conf. on Intelligent Transportation Systems, pp. 657–662. NHTSA, 2005. Drowsy Driver Detection and Warning System for Commercial Vehicle Drivers: Field Proportional Test Design, Analysis, and Progress. National Highway Traffic Safety Administration, Washington, DC. Available from Wang Rong-Ben, Guo Ke-You, Shi Shu-Ming, Chu Jiang-Wei, 2003. A monitoring method of driver fatigue behavior based on machine vision. In: Proc. 2003 IEEE Intelligent Vehicles Symposium, pp. 110–113. Zhang, Shan, Chen, Gao (bib42) 2007; 16 Thum Chia Chieh, Mustafa, M.M., Hussain, A., Zahedi, E., Majlis, B.Y., 2003. Driver fatigue detection using steering grip force. In: Proc. 2003 Student Conf. on Research and Development, pp. 45–48. Wang Tiesheng, Shi Pengfei, 2005. Yawning detection for determining driver drowsiness. In: Proc. 2005 IEEE Internat. Workshop on VLSI Design and Video Technology, pp. 373–376. Viola, P., Jones, M., 2001. Robust real time object detection. In: IEEE ICCV Workshop on Statistical and Computational Theories of Vision. Vancouver, Canada. Wang Rongben, Guo Lie, Tong Bingliang, Jin Lisheng, 2004. Monitoring mouth movement for driver fatigue or distraction with one camera. In: Proc. 7th Internat. IEEE Conf. on Intelligent Transportation Systems, pp. 314–319. Hamada, T., Ito, T., Adachi, K., Nakano, T., Yamamoto, S., 2003. Detecting method for drivers’ drowsiness applicable to individual features. In: Proc. 2003 IEEE Intelligent Transportation Systems, vol. 2, pp. 1405–1410. . Wiskott, Fellous, Kuiger, von der Malsburg (bib36) 1997; 19 Baum (bib3) 1972; 3 Takei, Y., Furukawa, Y., 2005. Estimate of driver’s fatigue through steering motion. In: IEEE Internat. Conf. on Systems, Man and Cybernetics, vol. 2, pp. 1765–1770. Wu Ruei-Cheng, Lin Chin-Teng, Liang Sheng-Fu, Huang Te-Yi, Chen Yu-Chieh, Jung Tzyy-Ping, 2004b. Estimating driving performance based on EEG spectrum and fuzzy neural network. In: Proc. 2004 IEEE Internat. Joint Conference on Neural Networks, vol. 1, pp. 585–590. Bergasa, Nuevo, Sotelo, Barea, Lopez (bib4) 2006; 7 Ji, Lan, Looney (bib16) 2006; 36 Daugman (bib6) 1980; 20 Dinges, D.F., Grace, R., 1998. Perclos: A Valid Psychophysiological Measure of Alertness as Assessed by Psychomotor Vigilance. US Department Transportation, Federal Highway Administration, Washington, DC, Technical Report Publication No. FHWA-MCRT-98-006. Lin Chin-Teng, Chen Yu-Chieh, Wu Ruei-Cheng, Liang Sheng-Fu, Huang Teng-Yi, 2005a. Assessment of driver’s driving performance and alertness using EEG-based fuzzy neural networks. In: IEEE Internat. Symposium on Circuits and Systems, vol. 1, pp. 152–155. 10.1016/j.patrec.2009.08.014_bib1 10.1016/j.patrec.2009.08.014_bib1a Baum (10.1016/j.patrec.2009.08.014_bib3) 1972; 3 Daugman (10.1016/j.patrec.2009.08.014_bib6) 1980; 20 10.1016/j.patrec.2009.08.014_bib7 10.1016/j.patrec.2009.08.014_bib24 10.1016/j.patrec.2009.08.014_bib8 10.1016/j.patrec.2009.08.014_bib9 10.1016/j.patrec.2009.08.014_bib26 10.1016/j.patrec.2009.08.014_bib25 10.1016/j.patrec.2009.08.014_bib29 Rabiner (10.1016/j.patrec.2009.08.014_bib27) 1989; 77 Schapire (10.1016/j.patrec.2009.08.014_bib28) 1999; 37 10.1016/j.patrec.2009.08.014_bib40 10.1016/j.patrec.2009.08.014_bib41 10.1016/j.patrec.2009.08.014_bib22 10.1016/j.patrec.2009.08.014_bib44 10.1016/j.patrec.2009.08.014_bib21 Bonato (10.1016/j.patrec.2009.08.014_bib5) 2001; 20 Zhang (10.1016/j.patrec.2009.08.014_bib42) 2007; 16 10.1016/j.patrec.2009.08.014_bib13 10.1016/j.patrec.2009.08.014_bib35 10.1016/j.patrec.2009.08.014_bib12 10.1016/j.patrec.2009.08.014_bib34 10.1016/j.patrec.2009.08.014_bib15 10.1016/j.patrec.2009.08.014_bib37 10.1016/j.patrec.2009.08.014_bib14 Ji (10.1016/j.patrec.2009.08.014_bib16) 2006; 36 10.1016/j.patrec.2009.08.014_bib38 Bergasa (10.1016/j.patrec.2009.08.014_bib4) 2006; 7 10.1016/j.patrec.2009.08.014_bib19 10.1016/j.patrec.2009.08.014_bib18 Freund (10.1016/j.patrec.2009.08.014_bib11) 1997; 55 10.1016/j.patrec.2009.08.014_bib31 Bassili (10.1016/j.patrec.2009.08.014_bib2) 1979; 37 10.1016/j.patrec.2009.08.014_bib30 10.1016/j.patrec.2009.08.014_bib33 10.1016/j.patrec.2009.08.014_bib10 10.1016/j.patrec.2009.08.014_bib32 Liu (10.1016/j.patrec.2009.08.014_bib20) 2002; 11 Miao (10.1016/j.patrec.2009.08.014_bib23) 1999; 32 Wiskott (10.1016/j.patrec.2009.08.014_bib36) 1997; 19 Zhao (10.1016/j.patrec.2009.08.014_bib43) 2007; 29 Li (10.1016/j.patrec.2009.08.014_bib17) 2007; 29
References_xml	– reference: Hou Xinwen, Liu ChengLin, Tan Tieniu, 2006. Learning boosted asymmetric classifiers for object detection. In: IEEE Computer Society Conf. on Computer Vision and Pattern Recognition, vol. 1, pp. 330–338. – reference: Parikh, P., Micheli-Tzanakou, E., 2004. Detecting drowsiness while driving using wavelet transform. In: Proc. IEEE 30th Annual Northeast Bioengineering Conference, pp. 79–80. – reference: Wang Tiesheng, Shi Pengfei, 2005. Yawning detection for determining driver drowsiness. In: Proc. 2005 IEEE Internat. Workshop on VLSI Design and Video Technology, pp. 373–376. – reference: Miyakawa, T., Takano, H., Nakamura, K., 2004. Development of non-contact real-time blink detection system for doze alarm. In: SICE 2004 Annual Conference, vol. 2, pp. 1626–1631. – reference: Wang Fei, Qin Huabiao, 2005. A FPGA based driver drowsiness detecting system. In: IEEE Internat. Conf. on Vehicular Electronics and Safety, pp. 358–363. – volume: 55 start-page: 119 year: 1997 end-page: 139 ident: bib11 article-title: A decision-theoretic generalization of on-line learning and an application to boosting publication-title: J. Comput. Syst. Sci. – reference: Fan Xiao, Yin Baocai, Sun Yanfeng, 2008. Nonintrusive driver fatigue detection. In: 2008 IEEE Internat. Conf. on Networking, Sensing and Control. Sanya, China, pp. 905–910. – reference: Yang Peng, Liu Qingshan, Metaxas, D.N., 2007. Boosting coded dynamic features for facial action units and facial expression recognition. In: IEEE Conf. on Computer Vision and Pattern Recognition, pp. 1–6. – volume: 7 start-page: 63 year: 2006 end-page: 77 ident: bib4 article-title: Real-time system for monitoring driver vigilance publication-title: IEEE Trans. Intell. Transport. Syst. – reference: Wu Ruei-Cheng, Lin Chin-Teng, Liang Sheng-Fu, Huang Teng-Yi, Jung Tzyy-Ping, 2004a. EEG-based fuzzy neural network estimator for driving performance. In: 2004 IEEE Internat. Conf. on Systems, Man and Cybernetics, vol. 4, pp. 4034–4040. – reference: NHTSA, 2005. Drowsy Driver Detection and Warning System for Commercial Vehicle Drivers: Field Proportional Test Design, Analysis, and Progress. National Highway Traffic Safety Administration, Washington, DC. Available from: – reference: Dinges, D.F., Mallis, M., Maislin, G., Powell, J.W., 1998. Evaluation of Techniques for Ocular Measurement as an Index of Fatigue and the Basis for Alertness Management. Department of Transportation Highway Safety Publication, Washington, DC, Technical Report. 808 762. – volume: 11 start-page: 467 year: 2002 end-page: 476 ident: bib20 article-title: Gabor feature based classification using the enhanced Fisher linear discriminant model for face recognition publication-title: IEEE Trans. Image Process. – reference: Wu Ruei-Cheng, Lin Chin-Teng, Liang Sheng-Fu, Huang Te-Yi, Chen Yu-Chieh, Jung Tzyy-Ping, 2004b. Estimating driving performance based on EEG spectrum and fuzzy neural network. In: Proc. 2004 IEEE Internat. Joint Conference on Neural Networks, vol. 1, pp. 585–590. – volume: 77 start-page: 257 year: 1989 end-page: 286 ident: bib27 article-title: A tutorial on hidden Markov models and selected applications in speech recognition publication-title: Proc. IEEE – volume: 37 start-page: 297 year: 1999 end-page: 336 ident: bib28 article-title: Improved boosting algorithms using confidence-rated predictions publication-title: Mach. Learn. – reference: Galley, N., Schleicher, R., 2004. Subjective and optomotoric indicators of driver drowsiness. In: The 3rd Internat. Conf. on Traffic and Transport Psychology. Nottingham, UK. – reference: Wang Rong-Ben, Guo Ke-You, Shi Shu-Ming, Chu Jiang-Wei, 2003. A monitoring method of driver fatigue behavior based on machine vision. In: Proc. 2003 IEEE Intelligent Vehicles Symposium, pp. 110–113. – volume: 37 start-page: 2049 year: 1979 end-page: 2059 ident: bib2 article-title: Emotion recognition: The role of facial movement and the relative importance of upper and lower areas of the face publication-title: J. Pers. Social Psychol. – reference: Liu, X., Fengliang, X., Fujimura, K., 2002. Real time eye detection and tracking for driver observation under various light conditions. In: Proc. 2002 IEEE Intelligent Vehicle Symposium, Versailles, France. – reference: Viola, P., Jones, M., 2001. Robust real time object detection. In: IEEE ICCV Workshop on Statistical and Computational Theories of Vision. Vancouver, Canada. – reference: Dinges, D.F., Grace, R., 1998. Perclos: A Valid Psychophysiological Measure of Alertness as Assessed by Psychomotor Vigilance. US Department Transportation, Federal Highway Administration, Washington, DC, Technical Report Publication No. FHWA-MCRT-98-006. – reference: Thum Chia Chieh, Mustafa, M.M., Hussain, A., Zahedi, E., Majlis, B.Y., 2003. Driver fatigue detection using steering grip force. In: Proc. 2003 Student Conf. on Research and Development, pp. 45–48. – volume: 20 start-page: 847 year: 1980 end-page: 856 ident: bib6 article-title: Two-dimensional spectral analysis of cortical receptive field profiles publication-title: Vis. Res. – reference: Tong Yan, Liao Wenhui, Ji Qiang, 2007. Facial action unit recognition by exploiting their dynamic and semantic relationships. IEEE Trans. Pattern Anal. Machine Intell. 29 (10), 1683–1699. – reference: Lin Chin-Teng, Wu Ruei-Cheng, Liang Sheng-Fu, Chao Wen-Hung, Chen Yu-Jie, Jung Tzyy-Ping, 2005b. EEG-based drowsiness estimation for safety driving using independent component analysis. In: IEEE Transactions on Circuits and Systems I: Regular Papers, 52(12), 2726–2738. – reference: Dong Wenhui, Wu Xiaojuan, 2005. Fatigue detection based on the distance of eyelid. In: Proc. 2005 IEEE International Workshop on VLSI Design and Video Technology, pp. 365–368. – reference: Abdul-Latif, A.A., Cosic, I., Kumar, D.K., Polus, B., Da Costa, C., 2004. Power changes of EEG signals associated with muscle fatigue: The root mean square analysis of EEG bands. In: Proc. 2004 Intelligent Sensors, Sensor Networks and Information Processing Conference, pp. 531–534. – reference: Wang Rongben, Guo Lie, Tong Bingliang, Jin Lisheng, 2004. Monitoring mouth movement for driver fatigue or distraction with one camera. In: Proc. 7th Internat. IEEE Conf. on Intelligent Transportation Systems, pp. 314–319. – volume: 3 start-page: 1 year: 1972 end-page: 8 ident: bib3 article-title: An inequality and associated maximization technique in statistical estimation for probabilistic function of Markov processes publication-title: Inequalities – reference: Hamada, T., Ito, T., Adachi, K., Nakano, T., Yamamoto, S., 2003. Detecting method for drivers’ drowsiness applicable to individual features. In: Proc. 2003 IEEE Intelligent Transportation Systems, vol. 2, pp. 1405–1410. – volume: 29 start-page: 627 year: 2007 end-page: 639 ident: bib17 article-title: Illumination invariant face recognition using near-infrared images publication-title: IEEE Trans. Pattern Anal. Machine Intell. – volume: 29 start-page: 915 year: 2007 end-page: 928 ident: bib43 article-title: Dynamic texture recognition using local binary patterns with an application to facial expressions publication-title: IEEE Trans. Pattern Anal. Machine Intell. – volume: 20 start-page: 133 year: 2001 end-page: 143 ident: bib5 article-title: EMG-based measures of fatigue during a repetitive squat exercise publication-title: IEEE Eng. Med. Biol. Mag. – reference: Lu Yufeng, Wang Zengcai, 2007. Detecting driver yawning in successive images. In: Proc. 1st Internat. Conf. on Bioinformatics and Biomedical Engineering, pp. 581–583. – volume: 19 start-page: 775 year: 1997 end-page: 779 ident: bib36 article-title: Face recognition by elastic bunch graph matching publication-title: IEEE Trans. Pattern Anal. Machine Intell. – reference: Lin Chin-Teng, Chen Yu-Chieh, Wu Ruei-Cheng, Liang Sheng-Fu, Huang Teng-Yi, 2005a. Assessment of driver’s driving performance and alertness using EEG-based fuzzy neural networks. In: IEEE Internat. Symposium on Circuits and Systems, vol. 1, pp. 152–155. – reference: Zhang Wenchao, Shan Shiguang, Gao Wen, Zhang Hongming, 2005. Local Gabor binary pattern histogram sequence (LGBPHS): A novel non-statistical model for face representation and recognition. In: Internat. Conf. on Computer Vision. Beijing, pp. 786–791. – reference: Hayashi, K., Ishihara, K., Hashimoto, H., Oguri, K., 2005. Individualized drowsiness detection during driving by pulse wave analysis with neural network. In: Proc. 2005 IEEE Intelligent Transportation Systems, pp. 901–906. – volume: 36 start-page: 862 year: 2006 end-page: 875 ident: bib16 article-title: A probabilistic framework for modeling and real-time monitoring human fatigue publication-title: IEEE Trans. Syst., Man Cybernet., Part A – reference: Takei, Y., Furukawa, Y., 2005. Estimate of driver’s fatigue through steering motion. In: IEEE Internat. Conf. on Systems, Man and Cybernetics, vol. 2, pp. 1765–1770. – reference: Zhu Zhiwei, Ji Qiang, 2004. Real time and non-intrusive driver fatigue monitoring. In: Proc. 7th Internat. IEEE Conf. on Intelligent Transportation Systems, pp. 657–662. – volume: 32 start-page: 1237 year: 1999 end-page: 1248 ident: bib23 article-title: A hierarchical multiscale and multiangle system for human face detection in a complex background using gravity-center template publication-title: Pattern Recognit. – reference: . – volume: 16 start-page: 57 year: 2007 end-page: 68 ident: bib42 article-title: Histogram of Gabor phase patterns (HGPP): A novel object representation approach for face recognition publication-title: IEEE Trans. Image Process. – ident: 10.1016/j.patrec.2009.08.014_bib26 – ident: 10.1016/j.patrec.2009.08.014_bib30 – volume: 32 start-page: 1237 issue: 7 year: 1999 ident: 10.1016/j.patrec.2009.08.014_bib23 article-title: A hierarchical multiscale and multiangle system for human face detection in a complex background using gravity-center template publication-title: Pattern Recognit. doi: 10.1016/S0031-3203(98)00156-3 – volume: 55 start-page: 119 issue: 1 year: 1997 ident: 10.1016/j.patrec.2009.08.014_bib11 article-title: A decision-theoretic generalization of on-line learning and an application to boosting publication-title: J. Comput. Syst. Sci. doi: 10.1006/jcss.1997.1504 – ident: 10.1016/j.patrec.2009.08.014_bib24 – ident: 10.1016/j.patrec.2009.08.014_bib1 – ident: 10.1016/j.patrec.2009.08.014_bib8 – volume: 77 start-page: 257 issue: 2 year: 1989 ident: 10.1016/j.patrec.2009.08.014_bib27 article-title: A tutorial on hidden Markov models and selected applications in speech recognition publication-title: Proc. IEEE doi: 10.1109/5.18626 – ident: 10.1016/j.patrec.2009.08.014_bib41 doi: 10.1109/ICCV.2005.147 – ident: 10.1016/j.patrec.2009.08.014_bib14 – volume: 36 start-page: 862 issue: 5 year: 2006 ident: 10.1016/j.patrec.2009.08.014_bib16 article-title: A probabilistic framework for modeling and real-time monitoring human fatigue publication-title: IEEE Trans. Syst., Man Cybernet., Part A doi: 10.1109/TSMCA.2005.855922 – volume: 11 start-page: 467 issue: 4 year: 2002 ident: 10.1016/j.patrec.2009.08.014_bib20 article-title: Gabor feature based classification using the enhanced Fisher linear discriminant model for face recognition publication-title: IEEE Trans. Image Process. doi: 10.1109/TIP.2002.999679 – ident: 10.1016/j.patrec.2009.08.014_bib12 – ident: 10.1016/j.patrec.2009.08.014_bib35 – ident: 10.1016/j.patrec.2009.08.014_bib33 – ident: 10.1016/j.patrec.2009.08.014_bib18 – ident: 10.1016/j.patrec.2009.08.014_bib37 – volume: 20 start-page: 133 issue: 6 year: 2001 ident: 10.1016/j.patrec.2009.08.014_bib5 article-title: EMG-based measures of fatigue during a repetitive squat exercise publication-title: IEEE Eng. Med. Biol. Mag. doi: 10.1109/51.982285 – ident: 10.1016/j.patrec.2009.08.014_bib19 doi: 10.1109/TCSI.2005.857555 – ident: 10.1016/j.patrec.2009.08.014_bib25 – ident: 10.1016/j.patrec.2009.08.014_bib31 – ident: 10.1016/j.patrec.2009.08.014_bib1a doi: 10.1109/TPAMI.2007.1094 – volume: 37 start-page: 297 issue: 3 year: 1999 ident: 10.1016/j.patrec.2009.08.014_bib28 article-title: Improved boosting algorithms using confidence-rated predictions publication-title: Mach. Learn. doi: 10.1023/A:1007614523901 – ident: 10.1016/j.patrec.2009.08.014_bib40 doi: 10.1109/CVPR.2007.383059 – ident: 10.1016/j.patrec.2009.08.014_bib9 – ident: 10.1016/j.patrec.2009.08.014_bib21 – ident: 10.1016/j.patrec.2009.08.014_bib7 – ident: 10.1016/j.patrec.2009.08.014_bib10 doi: 10.1109/ICNSC.2008.4525345 – ident: 10.1016/j.patrec.2009.08.014_bib22 doi: 10.1109/ICBBE.2007.152 – ident: 10.1016/j.patrec.2009.08.014_bib44 – ident: 10.1016/j.patrec.2009.08.014_bib29 – volume: 3 start-page: 1 year: 1972 ident: 10.1016/j.patrec.2009.08.014_bib3 article-title: An inequality and associated maximization technique in statistical estimation for probabilistic function of Markov processes publication-title: Inequalities – volume: 7 start-page: 63 issue: 1 year: 2006 ident: 10.1016/j.patrec.2009.08.014_bib4 article-title: Real-time system for monitoring driver vigilance publication-title: IEEE Trans. Intell. Transport. Syst. doi: 10.1109/TITS.2006.869598 – volume: 37 start-page: 2049 year: 1979 ident: 10.1016/j.patrec.2009.08.014_bib2 article-title: Emotion recognition: The role of facial movement and the relative importance of upper and lower areas of the face publication-title: J. Pers. Social Psychol. doi: 10.1037/0022-3514.37.11.2049 – volume: 16 start-page: 57 issue: 1 year: 2007 ident: 10.1016/j.patrec.2009.08.014_bib42 article-title: Histogram of Gabor phase patterns (HGPP): A novel object representation approach for face recognition publication-title: IEEE Trans. Image Process. doi: 10.1109/TIP.2006.884956 – ident: 10.1016/j.patrec.2009.08.014_bib15 – volume: 19 start-page: 775 issue: 7 year: 1997 ident: 10.1016/j.patrec.2009.08.014_bib36 article-title: Face recognition by elastic bunch graph matching publication-title: IEEE Trans. Pattern Anal. Machine Intell. doi: 10.1109/34.598235 – ident: 10.1016/j.patrec.2009.08.014_bib13 – volume: 29 start-page: 915 issue: 6 year: 2007 ident: 10.1016/j.patrec.2009.08.014_bib43 article-title: Dynamic texture recognition using local binary patterns with an application to facial expressions publication-title: IEEE Trans. Pattern Anal. Machine Intell. doi: 10.1109/TPAMI.2007.1110 – ident: 10.1016/j.patrec.2009.08.014_bib34 – volume: 20 start-page: 847 year: 1980 ident: 10.1016/j.patrec.2009.08.014_bib6 article-title: Two-dimensional spectral analysis of cortical receptive field profiles publication-title: Vis. Res. doi: 10.1016/0042-6989(80)90065-6 – volume: 29 start-page: 627 issue: 4 year: 2007 ident: 10.1016/j.patrec.2009.08.014_bib17 article-title: Illumination invariant face recognition using near-infrared images publication-title: IEEE Trans. Pattern Anal. Machine Intell. doi: 10.1109/TPAMI.2007.1014 – ident: 10.1016/j.patrec.2009.08.014_bib32 – ident: 10.1016/j.patrec.2009.08.014_bib38
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Snippet	Human fatigue is an important reason for many traffic accidents. To improve traffic safety, this paper proposes a novel Gabor-based dynamic representation for...
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SubjectTerms	AdaBoost algorithm Applied sciences Dynamic feature Exact sciences and technology Feature fusion Human fatigue Image processing Information, signal and communications theory Multi-scale Signal and communications theory Signal processing Signal representation. Spectral analysis Signal, noise Telecommunications and information theory
Title	Gabor-based dynamic representation for human fatigue monitoring in facial image sequences
URI	https://dx.doi.org/10.1016/j.patrec.2009.08.014
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