{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T18:53:47Z","timestamp":1743101627376,"version":"3.40.3"},"publisher-location":"Cham","reference-count":25,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319685472"},{"type":"electronic","value":"9783319685489"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"DOI":"10.1007\/978-3-319-68548-9_13","type":"book-chapter","created":{"date-parts":[[2017,10,12]],"date-time":"2017-10-12T13:05:13Z","timestamp":1507813513000},"page":"137-148","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Deep Passenger State Monitoring Using Viewpoint Warping"],"prefix":"10.1007","author":[{"given":"Ian","family":"Tu","sequence":"first","affiliation":[]},{"given":"Abhir","family":"Bhalerao","sequence":"additional","affiliation":[]},{"given":"Nathan","family":"Griffiths","sequence":"additional","affiliation":[]},{"given":"Mauricio","family":"Delgado","sequence":"additional","affiliation":[]},{"given":"Thomas","family":"Popham","sequence":"additional","affiliation":[]},{"given":"Alex","family":"Mouzakitis","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,10,13]]},"reference":[{"issue":"3","key":"13_CR1","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."},{"issue":"1","key":"13_CR2","first-page":"63","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. ITS 7(1), 63\u201377 (2006)","journal-title":"IEEE Trans. ITS"},{"key":"13_CR3","doi-asserted-by":"crossref","unstructured":"Chatfield, K., Simonyan, K., Vedaldi, A., Zisserman, A.: Return of the devil in the details: delving deep into convolutional nets. In: BMVC (2014)","DOI":"10.5244\/C.28.6"},{"key":"13_CR4","doi-asserted-by":"crossref","unstructured":"Choi, I.H., Tran, T.B.H., Kim, Y.G.: Real-time categorization of driver\u2019s gaze zone and head pose using the convolutional neural network. In: Proceedings of HCI Korea, pp. 417\u2013422. Hanbit Media, Inc. (2016)","DOI":"10.17210\/hcik.2016.01.417"},{"key":"13_CR5","unstructured":"Chuan, Z., Da Long, T., Feng, Z., Li, D.Z.: A planar homography estimation method for camera calibration. In: Proceedings of IEEE Computational Intelligence in Robotics and Automation, vol. 1, pp. 424\u2013429. IEEE (2003)"},{"issue":"1","key":"13_CR6","doi-asserted-by":"publisher","first-page":"1106","DOI":"10.3390\/s140101106","volume":"14","author":"IG Daza","year":"2014","unstructured":"Daza, I.G., Bergasa, L.M., Bronte, S., Yebes, J.J., Almaz\u00e1n, J., Arroyo, R.: Fusion of optimized indicators from Advanced Driver Assistance Systems (ADAS) for driver drowsiness detection. Sensors 14(1), 1106\u20131131 (2014)","journal-title":"Sensors"},{"key":"13_CR7","doi-asserted-by":"crossref","unstructured":"Gkioxari, G., Girshick, R., Malik, J.: Contextual action recognition with r* CNN. In: Proceedings of the IEEE ICCV, pp. 1080\u20131088 (2015)","DOI":"10.1109\/ICCV.2015.129"},{"key":"13_CR8","volume-title":"Multiple View Geometry in Computer Vision","author":"R Hartley","year":"2003","unstructured":"Hartley, R., Zisserman, A.: Multiple View Geometry in Computer Vision. Cambridge University Press, Cambridge (2003)"},{"key":"13_CR9","unstructured":"Jaguar Land Rover: New ADAS technologies for 2017 Range Rover Sport (2016). http:\/\/media.landrover.com\/node\/10699. Accessed 18 June 2017"},{"issue":"4","key":"13_CR10","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. Vech. Tech. 53(4), 1052\u20131068 (2004)","journal-title":"IEEE Trans. Vech. Tech."},{"issue":"1","key":"13_CR11","doi-asserted-by":"publisher","first-page":"221","DOI":"10.1109\/TPAMI.2012.59","volume":"35","author":"S Ji","year":"2013","unstructured":"Ji, S., Xu, W., Yang, M., Yu, K.: 3D convolutional neural networks for human action recognition. IEEE Trans. PAMI 35(1), 221\u2013231 (2013)","journal-title":"IEEE Trans. PAMI"},{"key":"13_CR12","doi-asserted-by":"crossref","unstructured":"Juan, L., Oubong, G.: SURF applied in panorama image stitching. In: Proceedings of Image Processing Theory Tools and Applications, pp. 495\u2013499. IEEE (2010)","DOI":"10.1109\/IPTA.2010.5586723"},{"key":"13_CR13","unstructured":"Krizhevsky, A., Sutskever, I., Hinton, G.E.: Imagenet classification with deep convolutional neural networks. In: NIPS, pp. 1097\u20131105 (2012)"},{"issue":"11","key":"13_CR14","doi-asserted-by":"publisher","first-page":"2278","DOI":"10.1109\/5.726791","volume":"86","author":"Y LeCun","year":"1998","unstructured":"LeCun, Y., Bottou, L., Bengio, Y., Haffner, P.: Gradient-based learning applied to document recognition. Proc. IEEE 86(11), 2278\u20132324 (1998)","journal-title":"Proc. IEEE"},{"key":"13_CR15","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"9","DOI":"10.1007\/978-3-642-35289-8_3","volume-title":"Neural Networks: Tricks of the Trade","author":"YA LeCun","year":"2012","unstructured":"LeCun, Y.A., Bottou, L., Orr, G.B., M\u00fcller, K.-R.: Efficient backprop. In: Montavon, G., Orr, G.B., M\u00fcller, K.-R. (eds.) Neural Networks: Tricks of the Trade. LNCS, vol. 7700, pp. 9\u201348. Springer, Heidelberg (2012). doi:10.1007\/978-3-642-35289-8_3"},{"issue":"3","key":"13_CR16","first-page":"1462","volume":"14","author":"RO Mbouna","year":"2013","unstructured":"Mbouna, R.O., Kong, S.G., Chun, M.G.: Visual analysis of eye state and head pose for driver alertness monitoring. IEEE Trans. ITS 14(3), 1462\u20131469 (2013)","journal-title":"IEEE Trans. ITS"},{"key":"13_CR17","doi-asserted-by":"crossref","unstructured":"McLaughlin, N., Del Rincon, J.M., Miller, P.: Data-augmentation for reducing dataset bias in person re-identification. In: AVSS, pp. 1\u20136. IEEE (2015)","DOI":"10.1109\/AVSS.2015.7301739"},{"key":"13_CR18","unstructured":"Simonyan, K., Zisserman, A.: Two-stream convolutional networks for action recognition in videos. In: NIPS, pp. 568\u2013576 (2014)"},{"key":"13_CR19","unstructured":"Simonyan, K., Zisserman, A.: Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556 (2014)"},{"issue":"4","key":"13_CR20","first-page":"2014","volume":"16","author":"F Vicente","year":"2015","unstructured":"Vicente, F., Huang, Z., Xiong, X., De la Torre, F., Zhang, W., Levi, D.: Driver gaze tracking and eyes off the road detection system. IEEE Trans. ITS 16(4), 2014\u20132027 (2015)","journal-title":"IEEE Trans. ITS"},{"issue":"2","key":"13_CR21","doi-asserted-by":"publisher","first-page":"103","DOI":"10.1049\/iet-cvi.2015.0175","volume":"10","author":"C Yan","year":"2016","unstructured":"Yan, C., Coenen, F., Zhang, B.: Driving posture recognition by convolutional neural networks. IET Comput. Vis. 10(2), 103\u2013114 (2016)","journal-title":"IET Comput. Vis."},{"key":"13_CR22","doi-asserted-by":"crossref","unstructured":"Yan, C., Jiang, H., Zhang, B., Coenen, F.: Recognizing driver inattention by convolutional neural networks. In: CISP, pp. 680\u2013685. IEEE (2015)","DOI":"10.1109\/CISP.2015.7407964"},{"key":"13_CR23","doi-asserted-by":"crossref","unstructured":"Yan, S., Teng, Y., Smith, J.S., Zhang, B.: Driver behavior recognition based on deep convolutional neural networks. In: ICNC-FSKD, pp. 636\u2013641. IEEE (2016)","DOI":"10.1109\/FSKD.2016.7603248"},{"issue":"11","key":"13_CR24","doi-asserted-by":"publisher","first-page":"1330","DOI":"10.1109\/34.888718","volume":"22","author":"Z Zhang","year":"2000","unstructured":"Zhang, Z.: A flexible new technique for camera calibration. IEEE Trans. PAMI 22(11), 1330\u20131334 (2000)","journal-title":"IEEE Trans. PAMI"},{"issue":"2","key":"13_CR25","doi-asserted-by":"publisher","first-page":"161","DOI":"10.1049\/iet-its.2011.0116","volume":"6","author":"C Zhao","year":"2012","unstructured":"Zhao, C., Zhang, B., He, J., Lian, J.: Recognition of driving postures by contourlet transform and random forests. IET Int. Trans. Syst. 6(2), 161\u2013168 (2012)","journal-title":"IET Int. Trans. Syst."}],"container-title":["Lecture Notes in Computer Science","Image Analysis and Processing - ICIAP 2017"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-68548-9_13","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,7]],"date-time":"2024-03-07T11:38:49Z","timestamp":1709811529000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-68548-9_13"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319685472","9783319685489"],"references-count":25,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-68548-9_13","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2017]]},"assertion":[{"value":"13 October 2017","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICIAP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Image Analysis and Processing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Catania","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2017","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 September 2017","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 September 2017","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iciap2017","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.iciap2017.com","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}