{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,18]],"date-time":"2025-10-18T10:48:11Z","timestamp":1760784491781,"version":"3.37.3"},"publisher-location":"Cham","reference-count":30,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319929996"},{"type":"electronic","value":"9783319930008"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1007\/978-3-319-93000-8_50","type":"book-chapter","created":{"date-parts":[[2018,6,5]],"date-time":"2018-06-05T01:50:47Z","timestamp":1528163447000},"page":"443-452","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["Transfer Learning Based Strategy for Improving Driver Distraction Recognition"],"prefix":"10.1007","author":[{"given":"Chaojie","family":"Ou","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chahid","family":"Ouali","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fakhri","family":"Karray","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,6,6]]},"reference":[{"key":"50_CR1","unstructured":"National Center for Statistics and Analysis: Distracted driving 2015. Technical report, The National Highway Traffic Safety Administration (2017)"},{"key":"50_CR2","unstructured":"Young, K., Regan, M., Hammer, M.: Driver distraction: a review of the literature. In: Distracted Driving, pp. 379\u2013405 (2007)"},{"key":"50_CR3","doi-asserted-by":"crossref","unstructured":"Koesdwiady, A., Soua, R., Karray, F., Kamel, M.S.: Recent trends in driver safety monitoring systems: State of the art and challenges. IEEE Trans. Veh. Technol. (2016)","DOI":"10.1109\/TVT.2016.2631604"},{"issue":"11","key":"50_CR4","doi-asserted-by":"publisher","first-page":"1805","DOI":"10.3390\/s16111805","volume":"16","author":"A Fern\u00e1ndez","year":"2016","unstructured":"Fern\u00e1ndez, A., Usamentiaga, R., Car\u00fas, J.L., Casado, R.: Driver distraction using visual-based sensors and algorithms. Sensors 16(11), 1805 (2016)","journal-title":"Sensors"},{"key":"50_CR5","unstructured":"Dinges, D.F., Grace, R.: Perclos: a valid psychophysiological measure of alertness as assessed by psychomotor vigilance. US Department of Transportation, Federal Highway Administration, Publication Number FHWA-MCRT-98-006 (1998)"},{"issue":"3","key":"50_CR6","doi-asserted-by":"publisher","first-page":"491","DOI":"10.1109\/TITS.2008.928241","volume":"9","author":"G Ioannis","year":"2008","unstructured":"Ioannis, G., Damousis, I.G., Tzovaras, D.: Fuzzy fusion of eyelid activity indicators for hypovigilance-related accident prediction. IEEE Trans. Intell. Transp. Syst. 9(3), 491\u2013500 (2008)","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"issue":"4","key":"50_CR7","doi-asserted-by":"publisher","first-page":"205","DOI":"10.1109\/TITS.2003.821342","volume":"4","author":"P Smith","year":"2003","unstructured":"Smith, P., Shah, M., de Vitoria Lobo, N.: Determining driver visual attention with one camera. IEEE Trans. Intell. Transp. Syst. 4(4), 205\u2013218 (2003)","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"key":"50_CR8","doi-asserted-by":"crossref","unstructured":"Bergasa, L.M., Buenaposada, J.M., Nuevo, J., Jimenez, P., Baumela, L.: Analysing driver\u2019s attention level using computer vision. In: International IEEE Conference on Intelligent Transportation Systems, pp. 1149\u20131154 (2008)","DOI":"10.1109\/ITSC.2008.4732544"},{"key":"50_CR9","doi-asserted-by":"crossref","unstructured":"Senaratne, R., Hardy, D., Vanderaa, B., Halgamuge, S.: Driver fatigue detection by fusing multiple cues. In: Advances in Neural Networks, pp. 801\u2013809 (2007)","DOI":"10.1007\/978-3-540-72393-6_96"},{"issue":"3","key":"50_CR10","first-page":"173","volume":"14","author":"C Craye","year":"2016","unstructured":"Craye, C., Rashwan, A., Kamel, M.S., Karray, F.: A multi-modal driver fatigue and distraction assessment system. Int. J. Intell. Transp. Syst. Res. 14(3), 173\u2013194 (2016)","journal-title":"Int. J. Intell. Transp. Syst. Res."},{"issue":"4","key":"50_CR11","doi-asserted-by":"publisher","first-page":"1052","DOI":"10.1109\/TVT.2004.830974","volume":"53","author":"Q Ji","year":"2004","unstructured":"Ji, Q., Zhu, Z., Lan, P.: Real-time nonintrusive monitoring and prediction of driver fatigue. IEEE Trans. Veh. Technol. 53(4), 1052\u20131068 (2004)","journal-title":"IEEE Trans. Veh. Technol."},{"issue":"1","key":"50_CR12","doi-asserted-by":"publisher","first-page":"63","DOI":"10.1109\/TITS.2006.869598","volume":"7","author":"LM Bergasa","year":"2006","unstructured":"Bergasa, L.M., Nuevo, J., Sotelo, M.A., Barea, R., Lopez, M.E.: Real-time system for monitoring driver vigilance. IEEE Trans. Intell. Transp. Syst. 7(1), 63\u201377 (2006)","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"key":"50_CR13","series-title":"Advances in Intelligent Systems and Computing","doi-asserted-by":"publisher","first-page":"129","DOI":"10.1007\/978-3-319-00930-8_12","volume-title":"Soft Computing in Industrial Applications","author":"L Li","year":"2014","unstructured":"Li, L., Werber, K., Calvillo, C.F., Dinh, K.D., Guarde, A., K\u00f6nig, A.: Multi-sensor soft-computing system for driver drowsiness detection. In: Sn\u00e1\u0161el, V., Kr\u00f6mer, P., K\u00f6ppen, M., Schaefer, G. (eds.) Soft Computing in Industrial Applications. AISC, vol. 223, pp. 129\u2013140. Springer, Cham (2014). https:\/\/doi.org\/10.1007\/978-3-319-00930-8_12"},{"issue":"2","key":"50_CR14","doi-asserted-by":"publisher","first-page":"91","DOI":"10.1023\/B:VISI.0000029664.99615.94","volume":"60","author":"DG Lowe","year":"2004","unstructured":"Lowe, D.G.: Distinctive image features from scale-invariant keypoints. Int. J. Comput. Vis. 60(2), 91\u2013110 (2004)","journal-title":"Int. J. Comput. Vis."},{"issue":"3","key":"50_CR15","doi-asserted-by":"publisher","first-page":"346","DOI":"10.1016\/j.cviu.2007.09.014","volume":"110","author":"H Bay","year":"2008","unstructured":"Bay, H., Ess, A., Tuytelaars, T., Van Gool, L.: Speeded-up robust features (SURF). Comput. Vis. Image Underst. 110(3), 346\u2013359 (2008)","journal-title":"Comput. Vis. Image Underst."},{"key":"50_CR16","doi-asserted-by":"crossref","unstructured":"Dalal, N., Triggs, B.: Histograms of oriented gradients for human detection. In: IEEE Conference on Computer Vision and Pattern Recognition, vol. 1, pp. 886\u2013893 (2005)","DOI":"10.1109\/CVPR.2005.177"},{"key":"50_CR17","unstructured":"Krizhevsky, A., Sutskever, I., Hinton, G.E.: Imagenet classification with deep convolutional neural networks. In: Advances in Neural Information Processing Systems, pp. 1097\u20131105 (2012)"},{"issue":"10","key":"50_CR18","doi-asserted-by":"publisher","first-page":"20","DOI":"10.2352\/ISSN.2470-1173.2017.10.IMAWM-162","volume":"2017","author":"MD Hssayeni","year":"2017","unstructured":"Hssayeni, M.D., Saxena, S., Ptucha, R., Savakis, A.: Distracted driver detection: deep learning vs handcrafted features. Electr. Imaging 2017(10), 20\u201326 (2017)","journal-title":"Electr. Imaging"},{"issue":"10","key":"50_CR19","doi-asserted-by":"publisher","first-page":"1345","DOI":"10.1109\/TKDE.2009.191","volume":"22","author":"SJ Pan","year":"2010","unstructured":"Pan, S.J., Yang, Q.: A survey on transfer learning. IEEE Trans. Knowl. Data Eng. 22(10), 1345\u20131359 (2010)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"issue":"5","key":"50_CR20","doi-asserted-by":"publisher","first-page":"1285","DOI":"10.1109\/TMI.2016.2528162","volume":"35","author":"H-C Shin","year":"2016","unstructured":"Shin, H.-C., Roth, H.R., Gao, M., Lu, L., Xu, Z., Nogues, I., Yao, J., Mollura, D., Summers, R.M.: Deep convolutional neural networks for computer-aided detection: Cnn architectures, dataset characteristics and transfer learning. IEEE Trans. Med. Imaging 35(5), 1285\u20131298 (2016)","journal-title":"IEEE Trans. Med. Imaging"},{"key":"50_CR21","unstructured":"Simonyan, K., Zisserman, A.: Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556 (2014)"},{"key":"50_CR22","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 770\u2013778 (2016)","DOI":"10.1109\/CVPR.2016.90"},{"issue":"3","key":"50_CR23","doi-asserted-by":"publisher","first-page":"211","DOI":"10.1007\/s11263-015-0816-y","volume":"115","author":"O Russakovsky","year":"2015","unstructured":"Russakovsky, O., Deng, J., Hao, S., Krause, J., Satheesh, S., Ma, S., Huang, Z., Karpathy, A., Khosla, A., Bernstein, M., et al.: Imagenet large scale visual recognition challenge. Int. J. Comput. Vis. 115(3), 211\u2013252 (2015)","journal-title":"Int. J. Comput. Vis."},{"key":"50_CR24","unstructured":"Abouelnaga, Y., Eraqi, H.M., Moustafa, M.N.: Real-time distracted driver posture classification. arXiv preprint arXiv:1706.09498 (2017)"},{"key":"50_CR25","doi-asserted-by":"crossref","unstructured":"Szegedy, C., Vanhoucke, V., Ioffe, S., Shlens, J., Wojna, Z: Rethinking the inception architecture for computer vision. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 2818\u20132826 (2016)","DOI":"10.1109\/CVPR.2016.308"},{"key":"50_CR26","first-page":"11","volume-title":"Lecture Notes in Computer Science","author":"Arief Koesdwiady","year":"2017","unstructured":"Koesdwiady, A., Bedawi, S.M., Ou, C., Karray, F.: End-to-end deep learning for driver distraction recognition. In: International Conference on Image Analysis and Recognition, pp. 11\u201318. Springer (2017)"},{"key":"50_CR27","unstructured":"Hinton, G.E., Srivastava, N., Krizhevsky, A., Sutskever, I., Salakhutdinov, R.R.: Improving neural networks by preventing co-adaptation of feature detectors. arXiv preprint arXiv:1207.0580 (2012)"},{"issue":"5","key":"50_CR28","doi-asserted-by":"publisher","first-page":"1213","DOI":"10.1109\/TMM.2013.2241416","volume":"15","author":"N Li","year":"2013","unstructured":"Li, N., Jain, J.J., Busso, C.: Modeling of driver behavior in real world scenarios using multiple noninvasive sensors. IEEE Trans. Multimed. 15(5), 1213\u20131225 (2013)","journal-title":"IEEE Trans. Multimed."},{"issue":"1","key":"50_CR29","doi-asserted-by":"publisher","first-page":"51","DOI":"10.1109\/TITS.2014.2324414","volume":"16","author":"N Li","year":"2015","unstructured":"Li, N., Busso, C.: Predicting perceived visual and cognitive distractions of drivers with multimodal features. IEEE Trans. Intell. Transp. Syst. 16(1), 51\u201365 (2015)","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"key":"50_CR30","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"256","DOI":"10.1007\/978-3-319-11758-4_28","volume-title":"Image Analysis and Recognition","author":"A Ragab","year":"2014","unstructured":"Ragab, A., Craye, C., Kamel, M.S., Karray, F.: A visual-based driver distraction recognition and detection using random forest. In: Campilho, A., Kamel, M. (eds.) ICIAR 2014. LNCS, vol. 8814, pp. 256\u2013265. Springer, Cham (2014). https:\/\/doi.org\/10.1007\/978-3-319-11758-4_28"}],"container-title":["Lecture Notes in Computer Science","Image Analysis and Recognition"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-93000-8_50","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,10,18]],"date-time":"2019-10-18T22:31:00Z","timestamp":1571437860000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-93000-8_50"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783319929996","9783319930008"],"references-count":30,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-93000-8_50","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2018]]}}}