{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,5]],"date-time":"2026-06-05T15:20:54Z","timestamp":1780672854632,"version":"3.54.1"},"publisher-location":"Cham","reference-count":39,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783319541891","type":"print"},{"value":"9783319541907","type":"electronic"}],"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\/978-3-319-54190-7_9","type":"book-chapter","created":{"date-parts":[[2017,3,11]],"date-time":"2017-03-11T00:44:09Z","timestamp":1489193049000},"page":"136-153","source":"Crossref","is-referenced-by-count":151,"title":["Anticipating Accidents in Dashcam Videos"],"prefix":"10.1007","author":[{"given":"Fu-Hsiang","family":"Chan","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yu-Ting","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yu","family":"Xiang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Min","family":"Sun","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2017,3,12]]},"reference":[{"key":"9_CR1","unstructured":"Simonyan, K., Zisserman, A.: Very deep convolutional networks for large-scale image recognition. In: ICLR (2015)"},{"key":"9_CR2","doi-asserted-by":"crossref","unstructured":"Wang, H., Schmid, C.: Action recognition with improved trajectories. In: ICCV (2013)","DOI":"10.1109\/ICCV.2013.441"},{"key":"9_CR3","unstructured":"Ren, S., He, K., Girshick, R., Sun, J.: Faster R-CNN: towards real-time object detection with region proposal networks. In: NIPS (2015)"},{"key":"9_CR4","unstructured":"Google Inc.: Google self-driving car project monthly report (2015)"},{"key":"9_CR5","unstructured":"National highway traffic safety administration: 2012 motor vehicle crashes: overview (2013)"},{"key":"9_CR6","doi-asserted-by":"crossref","first-page":"1735","DOI":"10.1162\/neco.1997.9.8.1735","volume":"9","author":"S Hochreiter","year":"1997","unstructured":"Hochreiter, S., Schmidhuber, J.: Long short-term memory. Neural Comput. 9, 1735\u20131780 (1997)","journal-title":"Neural Comput."},{"key":"9_CR7","doi-asserted-by":"crossref","unstructured":"Jain, A., Singh, A., Koppula, H.S., Soh, S., Saxena, A.: Recurrent neural networks for driver activity anticipation via sensory-fusion architecture. In: ICRA (2016)","DOI":"10.1109\/ICRA.2016.7487478"},{"key":"9_CR8","doi-asserted-by":"crossref","unstructured":"Ryoo, M.S.: Human activity prediction: early recognition of ongoing activities from streaming videos. In: ICCV (2011)","DOI":"10.1109\/ICCV.2011.6126349"},{"key":"9_CR9","doi-asserted-by":"crossref","unstructured":"Hoai, M., De la Torre, F.: Max-margin early event detectors. In: CVPR (2012)","DOI":"10.1109\/CVPR.2012.6248012"},{"key":"9_CR10","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"689","DOI":"10.1007\/978-3-319-10578-9_45","volume-title":"Computer Vision \u2013 ECCV 2014","author":"T Lan","year":"2014","unstructured":"Lan, T., Chen, T.-C., Savarese, S.: A hierarchical representation for future action prediction. In: Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.) ECCV 2014. LNCS, vol. 8691, pp. 689\u2013704. Springer, Cham (2014). doi: 10.1007\/978-3-319-10578-9_45"},{"key":"9_CR11","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"201","DOI":"10.1007\/978-3-642-33765-9_15","volume-title":"Computer Vision \u2013 ECCV 2012","author":"KM Kitani","year":"2012","unstructured":"Kitani, K.M., Ziebart, B.D., Bagnell, J.A., Hebert, M.: Activity forecasting. In: Fitzgibbon, A., Lazebnik, S., Perona, P., Sato, Y., Schmid, C. (eds.) ECCV 2012. LNCS, vol. 7575, pp. 201\u2013214. Springer, Heidelberg (2012). doi: 10.1007\/978-3-642-33765-9_15"},{"key":"9_CR12","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"707","DOI":"10.1007\/978-3-642-15552-9_51","volume-title":"Computer Vision \u2013 ECCV 2010","author":"J Yuen","year":"2010","unstructured":"Yuen, J., Torralba, A.: A data-driven approach for event prediction. In: Daniilidis, K., Maragos, P., Paragios, N. (eds.) ECCV 2010. LNCS, vol. 6312, pp. 707\u2013720. Springer, Heidelberg (2010). doi: 10.1007\/978-3-642-15552-9_51"},{"key":"9_CR13","doi-asserted-by":"crossref","unstructured":"Walker, J., Gupta, A., Hebert, M.: Patch to the future: unsupervised visual prediction. In: CVPR (2014)","DOI":"10.1109\/CVPR.2014.416"},{"key":"9_CR14","doi-asserted-by":"crossref","unstructured":"Wang, Z., Deisenroth, M., Ben Amor, H., Vogt, D., Sch\u00f6lkopf, B., Peters, J.: Probabilistic modeling of human movements for intention inference. In: RSS (2012)","DOI":"10.15607\/RSS.2012.VIII.055"},{"key":"9_CR15","doi-asserted-by":"crossref","first-page":"14","DOI":"10.1109\/TPAMI.2015.2430335","volume":"38","author":"HS Koppula","year":"2016","unstructured":"Koppula, H.S., Saxena, A.: Anticipating human activities using object affordances for reactive robotic response. PAMI 38, 14\u201329 (2016)","journal-title":"PAMI"},{"key":"9_CR16","doi-asserted-by":"crossref","unstructured":"Koppula, H.S., Jain, A., Saxena, A.: Anticipatory planning for human-robot teams. In: ISER (2014)","DOI":"10.1007\/978-3-319-23778-7_30"},{"key":"9_CR17","doi-asserted-by":"crossref","unstructured":"Mainprice, J., Berenson, D.: Human-robot collaborative manipulation planning using early prediction of human motion. In: IROS (2013)","DOI":"10.1109\/IROS.2013.6696368"},{"key":"9_CR18","doi-asserted-by":"crossref","unstructured":"Berndt, H., Emmert, J., Dietmayer, K.: Continuous driver intention recognition with hidden markov models. In: Intelligent Transportation Systems (2008)","DOI":"10.1109\/ITSC.2008.4732630"},{"key":"9_CR19","doi-asserted-by":"crossref","unstructured":"Frohlich, B., Enzweiler, M., Franke, U.: Will this car change the lane? - Turn signal recognition in the frequency domain. In: Intelligent Vehicles Symposium (IV) (2014)","DOI":"10.1109\/IVS.2014.6856477"},{"key":"9_CR20","doi-asserted-by":"crossref","unstructured":"Kumar, P., Perrollaz, M., Lef\u00e9vre, S., Laugier, C.: Learning-based approach for online lane change intention prediction. In: Intelligent Vehicles Symposium (IV) (2013)","DOI":"10.1109\/IVS.2013.6629564"},{"key":"9_CR21","doi-asserted-by":"crossref","unstructured":"Liebner, M., Baumann, M., Klanner, F., Stiller, C.: Driver intent inference at urban intersections using the intelligent driver model. In: Intelligent Vehicles Symposium (IV) (2012)","DOI":"10.1109\/IVS.2012.6232131"},{"key":"9_CR22","doi-asserted-by":"crossref","unstructured":"Morris, B., Doshi, A., Trivedi, M.: Lane change intent prediction for driver assistance: on-road design and evaluation. In: Intelligent Vehicles Symposium (IV) (2011)","DOI":"10.1109\/IVS.2011.5940538"},{"key":"9_CR23","doi-asserted-by":"crossref","first-page":"22","DOI":"10.1109\/MPRV.2011.38","volume":"10","author":"A Doshi","year":"2011","unstructured":"Doshi, A., Morris, B., Trivedi, M.: On-road prediction of driver\u2019s intent with multimodal sensory cues. IEEE Pervasive Comput. 10, 22\u201334 (2011)","journal-title":"IEEE Pervasive Comput."},{"key":"9_CR24","doi-asserted-by":"crossref","first-page":"108","DOI":"10.1109\/TITS.2006.889442","volume":"8","author":"MM Trivedi","year":"2007","unstructured":"Trivedi, M.M., Gandhi, T., McCall, J.: Looking-in and looking-out of a vehicle: computer-vision-based enhanced vehicle safety. IEEE Trans. Intell. Transp. Syst. 8, 108\u2013120 (2007)","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"key":"9_CR25","doi-asserted-by":"crossref","unstructured":"Jain, A., Koppula, H.S., Raghavan, B., Soh, S., Saxena, A.: Car that knows before you do: anticipating maneuvers via learning temporal driving models. In: ICCV (2015)","DOI":"10.1109\/ICCV.2015.364"},{"key":"9_CR26","doi-asserted-by":"crossref","unstructured":"Yao, L., Torabi, A., Cho, K., Ballas, N., Pal, C., Larochelle, H., Courville., A.: Describing videos by exploiting temporal structure. In: ICCV (2015)","DOI":"10.1109\/ICCV.2015.512"},{"key":"9_CR27","unstructured":"Xu, K., Ba, J., Kiros, R., Courville, A., Salakhutdinov, R., Zemel, R., Bengio, Y.: Show, attend and tell: neural image caption generation with visual attention. arXiv preprint (2015). arXiv:1502.03044"},{"key":"9_CR28","unstructured":"Mnih, V., Heess, N., Graves, A., kavukcuoglu, k.: Recurrent models of visual attention. In: NIPS (2014)"},{"key":"9_CR29","unstructured":"Ba, J., Mnih, V., Kavukcuoglu, K.: Multiple object recognition with visual attention. In: ICLR (2015)"},{"key":"9_CR30","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"44","DOI":"10.1007\/978-3-540-88682-2_5","volume-title":"Computer Vision \u2013 ECCV 2008","author":"GJ Brostow","year":"2008","unstructured":"Brostow, G.J., Shotton, J., Fauqueur, J., Cipolla, R.: Segmentation and recognition using structure from motion point clouds. In: Forsyth, D., Torr, P., Zisserman, A. (eds.) ECCV 2008. LNCS, vol. 5302, pp. 44\u201357. Springer, Heidelberg (2008). doi: 10.1007\/978-3-540-88682-2_5"},{"key":"9_CR31","doi-asserted-by":"crossref","unstructured":"Leibe, B., Cornelis, N., Cornelis, K., Gool, L.V.: Dynamic 3D scene analysis from a moving vehicle. In: CVPR (2007)","DOI":"10.1109\/CVPR.2007.383146"},{"key":"9_CR32","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"435","DOI":"10.1007\/978-3-642-40602-7_46","volume-title":"Pattern Recognition","author":"T Scharw\u00e4chter","year":"2013","unstructured":"Scharw\u00e4chter, T., Enzweiler, M., Franke, U., Roth, S.: Efficient multi-cue scene segmentation. In: Weickert, J., Hein, M., Schiele, B. (eds.) GCPR 2013. LNCS, vol. 8142, pp. 435\u2013445. Springer, Heidelberg (2013). doi: 10.1007\/978-3-642-40602-7_46"},{"key":"9_CR33","doi-asserted-by":"crossref","unstructured":"Geiger, A., Lenz, P., Urtasun, R.: Are we ready for autonomous driving? The KITTI vision benchmark suite. In: CVPR (2012)","DOI":"10.1109\/CVPR.2012.6248074"},{"key":"9_CR34","unstructured":"Cordts, M., Omran, M., Ramos, S., Scharw\u00e4chter, T., Enzweiler, M., Benenson, R., Franke, U., Roth, S., Schiele, B.: The cityscapes dataset. In: CVPR Workshop on the Future of Datasets in Vision (2015)"},{"key":"9_CR35","unstructured":"Pascanu, R., Mikolov, T., Bengio, Y.: On the difficulty of training recurrent neural networks. arXiv preprint (2012). arXiv:1211.5063"},{"key":"9_CR36","doi-asserted-by":"crossref","first-page":"1550","DOI":"10.1109\/5.58337","volume":"78","author":"PJ Werbos","year":"1990","unstructured":"Werbos, P.J.: Backpropagation through time: what it does and how to do it. Proc. IEEE 78, 1550\u20131560 (1990)","journal-title":"Proc. IEEE"},{"key":"9_CR37","doi-asserted-by":"crossref","unstructured":"Dalal, N., Triggs, B.: Histograms of oriented gradients for human detection. In: CVPR (2005)","DOI":"10.1109\/CVPR.2005.177"},{"key":"9_CR38","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"740","DOI":"10.1007\/978-3-319-10602-1_48","volume-title":"Computer Vision \u2013 ECCV 2014","author":"T-Y Lin","year":"2014","unstructured":"Lin, T.-Y., Maire, M., Belongie, S., Hays, J., Perona, P., Ramanan, D., Doll\u00e1r, P., Zitnick, C.L.: Microsoft COCO: common objects in context. In: Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.) ECCV 2014. LNCS, vol. 8693, pp. 740\u2013755. Springer, Cham (2014). doi: 10.1007\/978-3-319-10602-1_48"},{"key":"9_CR39","unstructured":"Abadi, M., Agarwal, A., Barham, P., Brevdo, E., Chen, Z., Citro, C., Corrado, G.S., Davis, A., Dean, J., Devin, M., Ghemawat, S., Goodfellow, I., Harp, A., Irving, G., Isard, M., Jia, Y., Jozefowicz, R., Kaiser, L., Kudlur, M., Levenberg, J., Man\u00e9, D., Monga, R., Moore, S., Murray, D., Olah, C., Schuster, M., Shlens, J., Steiner, B., Sutskever, I., Talwar, K., Tucker, P., Vanhoucke, V., Vasudevan, V., Vi\u00e9gas, F., Vinyals, O., Warden, P., Wattenberg, M., Wicke, M., Yu, Y., Zheng, X.: TensorFlow: large-scale machine learning on heterogeneous systems (2015). Software. tensorflow.org"}],"container-title":["Lecture Notes in Computer Science","Computer Vision \u2013 ACCV 2016"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-54190-7_9","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,19]],"date-time":"2019-09-19T12:31:01Z","timestamp":1568896261000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-54190-7_9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319541891","9783319541907"],"references-count":39,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-54190-7_9","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017]]}}}