{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T14:46:36Z","timestamp":1742913996434,"version":"3.40.3"},"publisher-location":"Cham","reference-count":20,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030306410"},{"type":"electronic","value":"9783030306427"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"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":[[2019]]},"DOI":"10.1007\/978-3-030-30642-7_11","type":"book-chapter","created":{"date-parts":[[2019,9,4]],"date-time":"2019-09-04T06:12:17Z","timestamp":1567577537000},"page":"117-127","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Virtual Crowds: An LSTM-Based Framework for Crowd Simulation"],"prefix":"10.1007","author":[{"given":"Niccol\u00f3","family":"Bisagno","sequence":"first","affiliation":[]},{"given":"Nicola","family":"Garau","sequence":"additional","affiliation":[]},{"given":"Andrea","family":"Montagner","sequence":"additional","affiliation":[]},{"given":"Nicola","family":"Conci","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,9,2]]},"reference":[{"key":"11_CR1","doi-asserted-by":"crossref","unstructured":"Alahi, A., Goel, K., Ramanathan, V., Robicquet, A., Fei-Fei, L., Savarese, S.: Social LSTM: human trajectory prediction in crowded spaces. In: Conference on Computer Vision and Pattern Recognition (CVPR), pp. 961\u2013971. IEEE (2016)","DOI":"10.1109\/CVPR.2016.110"},{"key":"11_CR2","doi-asserted-by":"crossref","unstructured":"Bera, A., Randhavane, T., Manocha, D.: Aggressive, tense, or shy? identifying personality traits from crowd videos. In: International Joint Conference on Artificial Intelligence (IJCAI), pp. 112\u2013118 (2017)","DOI":"10.24963\/ijcai.2017\/17"},{"key":"11_CR3","doi-asserted-by":"crossref","unstructured":"Bisagno, N., Conci, N., Zhang, B.: Data-driven crowd simulation. In: Advanced Video and Signal Based Surveillance (AVSS), pp. 1\u20136. IEEE (2017)","DOI":"10.1109\/AVSS.2017.8078494"},{"key":"11_CR4","unstructured":"Dauphin, Y., de Vries, H., Bengio, Y.: Equilibrated adaptive learning rates for non-convex optimization. In: Advances in Neural Information Processing Systems (NIPS), pp. 1504\u20131512 (2015)"},{"key":"11_CR5","unstructured":"Durupinar, F., Allbeck, J., Pelechano, N., Badler, N.: Creating crowd variation with the ocean personality model. In: International Conference on Autonomous Agents and Multiagent Systems (AAMAS), vol. 3, pp. 1217\u20131220 (2008)"},{"key":"11_CR6","unstructured":"Godoy, J., Karamouzas, I., Guy, S.J., Gini, M.L.: Moving in a crowd: safe and efficient navigation among heterogeneous agents. In: International Joint Conference on Artificial Intelligence (IJCAI), pp. 294\u2013300 (2016)"},{"key":"11_CR7","unstructured":"Graves, A.: Generating sequences with recurrent neural networks. arXiv preprint arXiv:1308.0850 (2013)"},{"issue":"6","key":"11_CR8","first-page":"190","volume":"31","author":"SJ Guy","year":"2012","unstructured":"Guy, S.J., Van Den Berg, J., Liu, W., Lau, R., Lin, M.C., Manocha, D.: A statistical similarity measure for aggregate crowd dynamics. Trans. Graph. (TOG) 31(6), 190 (2012)","journal-title":"Trans. Graph. (TOG)"},{"issue":"4","key":"11_CR9","doi-asserted-by":"publisher","first-page":"046109","DOI":"10.1103\/PhysRevE.75.046109","volume":"75","author":"D Helbing","year":"2007","unstructured":"Helbing, D., Johansson, A., Al-Abideen, H.Z.: Dynamics of crowd disasters: an empirical study. Phys. Rev. E. APS 75(4), 046109 (2007)","journal-title":"Phys. Rev. E. APS"},{"issue":"5","key":"11_CR10","doi-asserted-by":"publisher","first-page":"4282","DOI":"10.1103\/PhysRevE.51.4282","volume":"51","author":"D Helbing","year":"1995","unstructured":"Helbing, D., Molnar, P.: Social force model for pedestrian dynamics. Phys. Rev. E. APS 51(5), 4282 (1995)","journal-title":"Phys. Rev. E. APS"},{"issue":"8","key":"11_CR11","doi-asserted-by":"publisher","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(8), 1735\u20131780 (1997)","journal-title":"Neural Comput."},{"issue":"3","key":"11_CR12","doi-asserted-by":"publisher","first-page":"655","DOI":"10.1111\/j.1467-8659.2007.01089.x","volume":"26","author":"A Lerner","year":"2007","unstructured":"Lerner, A., Chrysanthou, Y., Lischinski, D.: Crowds by example. Comput. Graph. Forum 26(3), 655\u2013664 (2007)","journal-title":"Comput. Graph. Forum"},{"key":"11_CR13","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"75","DOI":"10.1007\/978-3-642-10347-6_7","volume-title":"Motion in Games","author":"A Lerner","year":"2009","unstructured":"Lerner, A., Chrysanthou, Y., Shamir, A., Cohen-Or, D.: Data driven evaluation of crowds. In: Egges, A., Geraerts, R., Overmars, M. (eds.) MIG 2009. LNCS, vol. 5884, pp. 75\u201383. Springer, Heidelberg (2009). https:\/\/doi.org\/10.1007\/978-3-642-10347-6_7"},{"issue":"2","key":"11_CR14","doi-asserted-by":"publisher","first-page":"244","DOI":"10.1109\/TVCG.2010.33","volume":"17","author":"S Patil","year":"2011","unstructured":"Patil, S., Van Den Berg, J., Curtis, S., Lin, M.C., Manocha, D.: Directing crowd simulations using navigation fields. Trans. Vis. Comput. Graph. 17(2), 244\u2013254 (2011)","journal-title":"Trans. Vis. Comput. Graph."},{"key":"11_CR15","doi-asserted-by":"crossref","unstructured":"Pellegrini, S., Ess, A., Schindler, K., Van Gool, L.: You\u2019ll never walk alone: modeling social behavior for multi-target tracking. In: International Conference on Computer Vision (ICCV), pp. 261\u2013268. IEEE (2009)","DOI":"10.1109\/ICCV.2009.5459260"},{"issue":"3","key":"11_CR16","doi-asserted-by":"publisher","first-page":"269","DOI":"10.1007\/s00530-006-0059-4","volume":"12","author":"FZ Qureshi","year":"2006","unstructured":"Qureshi, F.Z., Terzopoulos, D.: Surveillance camera scheduling: a virtual vision approach. Multimed. Syst. 12(3), 269\u2013283 (2006)","journal-title":"Multimed. Syst."},{"key":"11_CR17","doi-asserted-by":"crossref","unstructured":"Scovanner, P., Tappen, M.F.: Learning pedestrian dynamics from the real world. In: International Conference on Computer Vision (ICCV), pp. 381\u2013388. IEEE (2009)","DOI":"10.1109\/ICCV.2009.5459224"},{"key":"11_CR18","doi-asserted-by":"crossref","unstructured":"Trautman, P., Ma, J., Murray, R.M., Krause, A.: Robot navigation in dense human crowds: the case for cooperation. In: International Conference on Robotics and Automation (ICRA), pp. 2153\u20132160. IEEE (2013)","DOI":"10.1109\/ICRA.2013.6630866"},{"issue":"3","key":"11_CR19","doi-asserted-by":"publisher","first-page":"1160","DOI":"10.1145\/1141911.1142008","volume":"25","author":"A Treuille","year":"2006","unstructured":"Treuille, A., Cooper, S., Popovi\u0107, Z.: Continuum crowds. Trans. Graph. (TOG) 25(3), 1160\u20131168 (2006)","journal-title":"Trans. Graph. (TOG)"},{"key":"11_CR20","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1007\/978-3-642-19457-3_1","volume-title":"Robotics Research","author":"J Van Den Berg","year":"2011","unstructured":"Van Den Berg, J., Guy, S.J., Lin, M., Manocha, D.: Reciprocal n-body collision avoidance. In: Pradalier, C., Siegwart, R., Hirzinger, G. (eds.) Robotics Research, pp. 3\u201319. Springer, Heidelberg (2011). https:\/\/doi.org\/10.1007\/978-3-642-19457-3_1"}],"container-title":["Lecture Notes in Computer Science","Image Analysis and Processing \u2013 ICIAP 2019"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-30642-7_11","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,4]],"date-time":"2023-09-04T00:11:11Z","timestamp":1693786271000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-30642-7_11"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030306410","9783030306427"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-30642-7_11","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"2 September 2019","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":"Trento","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":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9 September 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13 September 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iciap2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/event.unitn.it\/iciap2019\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"CMT","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"207","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"117","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"57% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2.6","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"4","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}