{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,7]],"date-time":"2025-10-07T08:04:53Z","timestamp":1759824293734,"version":"3.40.3"},"publisher-location":"Cham","reference-count":21,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319591469"},{"type":"electronic","value":"9783319591476"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"DOI":"10.1007\/978-3-319-59147-6_21","type":"book-chapter","created":{"date-parts":[[2017,5,16]],"date-time":"2017-05-16T21:04:08Z","timestamp":1494968648000},"page":"235-245","source":"Crossref","is-referenced-by-count":5,"title":["Recognizing Pedestrian Direction Using Convolutional Neural Networks"],"prefix":"10.1007","author":[{"given":"Alex","family":"Dominguez-Sanchez","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sergio","family":"Orts-Escolano","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Miguel","family":"Cazorla","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2017,5,18]]},"reference":[{"key":"21_CR1","doi-asserted-by":"crossref","unstructured":"Dalal, N., Triggs, B.: Histograms of oriented gradients for human detection. In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Washington, D.C., USA, pp. 886\u2013893 (2005)","DOI":"10.1109\/CVPR.2005.177"},{"key":"21_CR2","doi-asserted-by":"crossref","unstructured":"Walk, S., Majer, N., Schindler, K., Schiele, B.: New features and insights for pedestrian detection. In: CVPR, pp. 1030\u20131037 (2010)","DOI":"10.1109\/CVPR.2010.5540102"},{"key":"21_CR3","doi-asserted-by":"crossref","first-page":"2179","DOI":"10.1109\/TPAMI.2008.260","volume":"31","author":"M Enzweiler","year":"2009","unstructured":"Enzweiler, M., Gavrila, D.M.: Monocular pedestrian detection: survey and experiments. IEEE Trans. Pattern Anal. Mach. Intell. 31, 2179\u20132195 (2009)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"21_CR4","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"613","DOI":"10.1007\/978-3-319-16181-5_47","volume-title":"Computer Vision - ECCV 2014 Workshops","author":"R Benenson","year":"2015","unstructured":"Benenson, R., Omran, M., Hosang, J., Schiele, B.: Ten years of pedestrian detection, what have we learned? In: Agapito, L., Bronstein, M.M., Rother, C. (eds.) ECCV 2014. LNCS, vol. 8926, pp. 613\u2013627. Springer, Cham (2015). doi: 10.1007\/978-3-319-16181-5_47"},{"issue":"4","key":"21_CR5","doi-asserted-by":"crossref","first-page":"743","DOI":"10.1109\/TPAMI.2011.155","volume":"34","author":"P Dollar","year":"2012","unstructured":"Dollar, P., Wojek, C., Schiele, B., Perona, P.: Pedestrian detection: an evaluation of the state of the art. IEEE Trans. Pattern Anal. Mach. Intell. 34(4), 743\u2013761 (2012)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"2","key":"21_CR6","doi-asserted-by":"crossref","first-page":"137","DOI":"10.1023\/B:VISI.0000013087.49260.fb","volume":"57","author":"P Viola","year":"2004","unstructured":"Viola, P., Jones, M.J.: Robust real-time face detection. Int. J. Comput. Vis. 57(2), 137\u2013154 (2004)","journal-title":"Int. J. Comput. Vis."},{"key":"21_CR7","doi-asserted-by":"crossref","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, 2278\u20132324 (1998)","journal-title":"Proc. IEEE"},{"key":"21_CR8","unstructured":"Krizhevsky, A., Sutskever, I., Hinton, G.E.: Imagenet classification with deep convolutional neural networks. In: Pereira, F., Burges, C.J.C., Bottou, L., Weinberger, K.Q. (eds.) Advances in Neural Information Processing Systems 25, pp. 1097\u20131105. Curran Associates Inc., New York (2012)"},{"key":"21_CR9","doi-asserted-by":"crossref","unstructured":"Zhang, S., Benenson, R., Omran, M., Hosang, J., Schiele, B.: How far are we from solving pedestrian detection? In: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2016","DOI":"10.1109\/CVPR.2016.141"},{"key":"21_CR10","doi-asserted-by":"crossref","unstructured":"Enzweiler, M., Gavrila, D.M.: Integrated pedestrian classification and orientation estimation. In: CVPR, pp. 982\u2013989. IEEE Computer Society (2010)","DOI":"10.1109\/CVPR.2010.5540110"},{"key":"21_CR11","doi-asserted-by":"crossref","unstructured":"Gandhi, T., Trivedi, M.M.: Image based estimation of pedestrian orientation for improving path prediction. In: IEEE Intelligent Vehicles Symposium (2008)","DOI":"10.1109\/IVS.2008.4621257"},{"key":"21_CR12","doi-asserted-by":"crossref","unstructured":"Mogelmose, A., Trivedi, M.M., Moeslund, T.B. Trajectory analysis, prediction for improved pedestrian safety: integrated framework and evaluations. In: Intelligent Vehicles Symposium, pp. 330\u2013335. IEEE (2015)","DOI":"10.1109\/IVS.2015.7225707"},{"key":"21_CR13","doi-asserted-by":"crossref","first-page":"20","DOI":"10.3141\/1705-04","volume":"1705","author":"T Fugger","year":"2000","unstructured":"Fugger, T., Randles, B., Stein, A., Whiting, W., Gallagher, B.: Analysis of pedestrian gait and perception-reaction at signal-controlled crosswalk intersections. Transportation Research Record 1705, 20\u201325 (2000)","journal-title":"Transportation Research Record"},{"key":"21_CR14","doi-asserted-by":"crossref","unstructured":"Goldhammer, M., Hubert, A., K\u00f6hler, S., Zindler, K., Brunsmann, U., Doll, K., Sick, B.: Analysis on termination of pedestrians\u2019 gait at urban intersections. In: IEEE 17th International Conference on Intelligent Transportation Systems, pp. 1758\u20131763 (2014)","DOI":"10.1109\/ITSC.2014.6957947"},{"key":"21_CR15","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"174","DOI":"10.1007\/978-3-642-40602-7_18","volume-title":"Pattern Recognition","author":"N Schneider","year":"2013","unstructured":"Schneider, N., Gavrila, D.M.: Pedestrian path prediction with recursive bayesian filters: a comparative study. In: Weickert, J., Hein, M., Schiele, B. (eds.) GCPR 2013. LNCS, vol. 8142, pp. 174\u2013183. Springer, Heidelberg (2013). doi: 10.1007\/978-3-642-40602-7_18"},{"issue":"2","key":"21_CR16","doi-asserted-by":"crossref","first-page":"494","DOI":"10.1109\/TITS.2013.2280766","volume":"15","author":"CG Keller","year":"2014","unstructured":"Keller, C.G., Gavrila, D.M.: Will the pedestrian cross? A study on pedestrian path prediction. IEEE Trans. Intell. Transp. Syst. 15(2), 494\u2013506 (2014)","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"issue":"4","key":"21_CR17","doi-asserted-by":"crossref","first-page":"87","DOI":"10.1109\/MITS.2013.2276939","volume":"5","author":"S Koehler","year":"2013","unstructured":"Koehler, S., Goldhammer, M., Bauer, S., Zecha, S., Doll, K., Brunsmann, U., Dietmayer, K.: Stationary detection of the pedestrian\u2019s intention at intersections. IEEE Intell. Transp. Syst. Mag. 5(4), 87\u201399 (2013)","journal-title":"IEEE Intell. Transp. Syst. Mag."},{"key":"21_CR18","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"363","DOI":"10.1007\/3-540-45103-X_50","volume-title":"Image Analysis","author":"G Farneb\u00e4ck","year":"2003","unstructured":"Farneb\u00e4ck, G.: Two-frame motion estimation based on polynomial expansion. In: Bigun, J., Gustavsson, T. (eds.) SCIA 2003. LNCS, vol. 2749, pp. 363\u2013370. Springer, Heidelberg (2003). doi: 10.1007\/3-540-45103-X_50"},{"key":"21_CR19","unstructured":"Hinton, G.E., Srivastava, N., Krizhevsky, A., Sutskever, I., Salakhutdinov, R.: Improving neural networks by preventing co-adaptation of feature detectors. CoRR abs\/1207.0580 (2012)"},{"issue":"3","key":"21_CR20","first-page":"543","volume":"269","author":"Y Nesterov","year":"1983","unstructured":"Nesterov, Y.: A method for solving a convex programming problem with rate of convergence $${O}(1\/k^2)$$ . Sov. Math. Dokl. 269(3), 543\u2013547 (1983)","journal-title":"Sov. Math. Dokl."},{"key":"21_CR21","unstructured":"Glorot, X., Bengio, Y.: Understanding the difficulty of training deep feedforward neural networks. In: Proceedings of the International Conference on Artificial Intelligence and Statistics (2010)"}],"container-title":["Lecture Notes in Computer Science","Advances in Computational Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-59147-6_21","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,24]],"date-time":"2019-09-24T14:55:04Z","timestamp":1569336904000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-59147-6_21"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319591469","9783319591476"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-59147-6_21","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2017]]}}}