{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,25]],"date-time":"2025-06-25T04:11:25Z","timestamp":1750824685860,"version":"3.41.0"},"reference-count":43,"publisher":"Institute of Electronics, Information and Communications Engineers (IEICE)","issue":"8","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEICE Trans. Inf. & Syst."],"published-print":{"date-parts":[[2017]]},"DOI":"10.1587\/transinf.2016edp7438","type":"journal-article","created":{"date-parts":[[2017,7,31]],"date-time":"2017-07-31T22:19:36Z","timestamp":1501539576000},"page":"1827-1836","source":"Crossref","is-referenced-by-count":0,"title":["A Generic Bi-Layer Data-Driven Crowd Behaviors Modeling Approach"],"prefix":"10.1587","volume":"E100.D","author":[{"given":"Weiwei","family":"XING","sequence":"first","affiliation":[{"name":"School of Software Engineering, Beijing Jiaotong University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shibo","family":"ZHAO","sequence":"additional","affiliation":[{"name":"School of Software Engineering, Beijing Jiaotong University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shunli","family":"ZHANG","sequence":"additional","affiliation":[{"name":"School of Software Engineering, Beijing Jiaotong University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuanyuan","family":"CAI","sequence":"additional","affiliation":[{"name":"School of Computer and Information Engineering, Beijing Technology and Business University"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"532","reference":[{"key":"1","unstructured":"[1] H. Finnsson and Y. Bj\u00f6rnsson, \u201cSimulation-Based Approach to General Game Playing,\u201d AAAI, vol.8, pp.259-264, 2008."},{"key":"2","doi-asserted-by":"crossref","unstructured":"[2] D. Helbing and P. Moln\u00e1r, \u201cSocial force model for pedestrian dynamics,\u201d Physical review E, vol.51, no.5, pp.4282-4286, 1995. 10.1103\/physreve.51.4282","DOI":"10.1103\/PhysRevE.51.4282"},{"key":"3","doi-asserted-by":"publisher","unstructured":"[3] L. Luo, S. Zhou, W. Cai, M.Y.H. Low, F. Tian, Y. Wang, X. Xiao, and D. Chen, \u201cAgent-based human behavior modeling for crowd simulation,\u201d Computer Animation and Virtual Worlds, vol.19, no.3-4, pp.271-281, 2008. 10.1002\/cav.238","DOI":"10.1002\/cav.238"},{"key":"4","unstructured":"[4] C. Tomasi and T. Kanade, \u201cDetection and tracking of point features,\u201d Technical Report CMU-CS-91-132, Carnegie Mellon Univ. Pittsburgh, 1991."},{"key":"5","doi-asserted-by":"crossref","unstructured":"[5] J. Zhong, L. Luo, W. Cai, and M. Lees, \u201cEa-based evacuation planning using agent-based crowd simulation,\u201d Proceedings of the 2014 Winter Simulation Conference, IEEE Press, pp.395-406, 2014. 10.1109\/wsc.2014.7019906","DOI":"10.1109\/WSC.2014.7019906"},{"key":"6","doi-asserted-by":"publisher","unstructured":"[6] S. Zhou, D. Chen, W. Cai, L. Luo, M.Y.H. Low, F. Tian, V.S.-H. Tay, D.W.S. Ong, and B.D. Hamilton, \u201cCrowd modeling and simulation technologies,\u201d ACM Transactions on Modeling and Computer Simulation (TOMACS), vol.20, no.4, Article No.20, 2010. 10.1145\/1842722.1842725","DOI":"10.1145\/1842722.1842725"},{"key":"7","doi-asserted-by":"publisher","unstructured":"[7] E. Ju, M.G. Choi, M. Park, J. Lee, K.H. Lee, and S. Takahashi, \u201cMorphable crowds,\u201d ACM Transactions on Graphics (TOG). vol.29, no.6, Article No.140, 2010. 10.1145\/1882261.1866162","DOI":"10.1145\/1882261.1866162"},{"key":"8","unstructured":"[8] K.H. Lee, M.G. Choi, Q. Hong, et al., \u201cGroup behavior from video: a data-driven approach to crowd simulation,\u201d Proceedings of the 2007 ACM SIGGRAPH\/Eurographics symposium on Computer animation, pp.109-118, 2007."},{"key":"9","doi-asserted-by":"publisher","unstructured":"[9] A. Lerner, Y. Chrysanthou, and D. Lischinski, \u201cCrowds by example,\u201d Computer Graphics Forum, Blackwell Publishing Ltd, vol.26, no.3, pp.655-664, 2007. 10.1111\/j.1467-8659.2007.01089.x","DOI":"10.1111\/j.1467-8659.2007.01089.x"},{"key":"10","doi-asserted-by":"crossref","unstructured":"[10] A. Lerner, E. Fitusi, Y. Chrysanthou, and D. Cohen-Or, \u201cFitting behaviors to pedestrian simulations,\u201d Proceedings of the 2009 ACM SIGGRAPH\/Eurographics Symposium on Computer Animation, ACM, pp.199-208, 2009. 10.1145\/1599470.1599496","DOI":"10.1145\/1599470.1599496"},{"key":"11","doi-asserted-by":"publisher","unstructured":"[11] S.R. Musse, C.R. Jung, J.C.S. Jacques, and A. Braun, \u201cUsing computer vision to simulate the motion of virtual agents,\u201d Computer Animation and Virtual Worlds, vol.18, no.2, pp.83-93, 2007. 10.1002\/cav.163","DOI":"10.1002\/cav.163"},{"key":"12","doi-asserted-by":"crossref","unstructured":"[12] M. Zhao, S.J. Turner, and W. Cai, \u201cA data-driven crowd simulation model based on clustering and classification,\u201d Proceedings of the 2013 IEEE\/ACM 17th International Symposium on Distributed Simulation and Real Time Applications, IEEE Computer Society, pp.125-134, 2013. 10.1109\/ds-rt.2013.21","DOI":"10.1109\/DS-RT.2013.21"},{"key":"13","doi-asserted-by":"publisher","unstructured":"[13] A. Johansson, D. Helbing, and P.K. Shukla, \u201cSpecification of the social force pedestrian model by evolutionary adjustment to video tracking data,\u201d Advances in complex systems, vol.10, no.supp02, pp.271-288, 2007. 10.1142\/s0219525907001355","DOI":"10.1142\/S0219525907001355"},{"key":"14","doi-asserted-by":"crossref","unstructured":"[14] P. Scovanner and M.F. Tappen, \u201cLearning pedestrian dynamics from the real world,\u201d ICCV, vol.9, pp.381-388, 2009. 10.1109\/iccv.2009.5459224","DOI":"10.1109\/ICCV.2009.5459224"},{"key":"15","doi-asserted-by":"publisher","unstructured":"[15] D.J. Wolinski, S. Guy, A.-H. Olivier, M. Lin, D. Manocha, and J. Pettr\u00e9, \u201cParameter estimation and comparative evaluation of crowd simulations,\u201d Computer Graphics Forum, vol.33, no.2, pp.303-312, 2014. 10.1111\/cgf.12328","DOI":"10.1111\/cgf.12328"},{"key":"16","unstructured":"[16] J. Zhong, L. Luo, W. Cai, et al., \u201cAutomatic rule identification for agent-based crowd models through gene expression programming,\u201d Proceedings of the 2014 international conference on Autonomous agents and multi-agent systems, International Foundation for Autonomous Agents and Multiagent Systems, pp.1125-1132, 2014."},{"key":"17","doi-asserted-by":"crossref","unstructured":"[17] C.W. Reynolds, \u201cFlocks, herds and schools: A distributed behavioral model,\u201d ACM SIGGRAPH computer graphics, vol.21, no.4, pp.25-34, 1987. 10.1145\/37402.37406","DOI":"10.1145\/37402.37406"},{"key":"18","unstructured":"[18] MASSIVE SOFTWARE: http:\/\/www.massivesoftware.com\/, 2006."},{"key":"19","unstructured":"[19] P. Kruszewski, \u201cReal-time crowd simulation using AI,\u201d implant, AI Game Programming Wisdom, vol.3, pp.233-248, 2006. 10.1201\/b18373"},{"key":"20","doi-asserted-by":"crossref","unstructured":"[20] S.R. Musse and D. Thalmann, \u201cA model of human crowd behavior: Group inter-relationship and collision detection analysis,\u201d Computer Animation and Simulation'97, Springer Vienna, pp.39-51, 1997. 10.1007\/978-3-7091-6874-5_3","DOI":"10.1007\/978-3-7091-6874-5_3"},{"key":"21","doi-asserted-by":"crossref","unstructured":"[21] N. Pelechano, K. O'Brien, B. Silverman, et al., \u201cCrowd simulation incorporating agent psychological models, roles and communication,\u201d Tech. Rep., Pennsyvania Univ Philadelphia Center for Human Modeling and Simulation, 2005.","DOI":"10.21236\/ADA522128"},{"key":"22","doi-asserted-by":"crossref","unstructured":"[22] J. Funge, X. Tu, and D. Terzopoulos, \u201cCognitive modeling: knowledge, reasoning and planning for intelligent characters,\u201d Proceedings of the 26th annual conference on Computer graphics and interactive techniques, ACM Press\/Addison-Wesley Publishing Co., pp.29-38, 1999. 10.1145\/311535.311538","DOI":"10.1145\/311535.311538"},{"key":"23","doi-asserted-by":"publisher","unstructured":"[23] R.A. Metoyer and J.K. Hodgins, \u201cReactive pedestrian path following from examples,\u201d The Visual Computer, vol.20, no.10, pp.635-649, 2004. 10.1007\/s00371-004-0265-z","DOI":"10.1007\/s00371-004-0265-z"},{"key":"24","doi-asserted-by":"crossref","unstructured":"[24] W. Shao and D. Terzopoulos, \u201cAutonomous pedestrians,\u201d Proceedings of the 2005 ACM SIGGRAPH\/Eurographics symposium on Computer animation, ACM, pp.19-28, 2005. 10.1145\/1073368.1073371","DOI":"10.1145\/1073368.1073371"},{"key":"25","doi-asserted-by":"crossref","unstructured":"[25] T.-Y. Li and H.-C. Chou, \u201cMotion planning for a crowd of robots,\u201d Robotics and Automation, 2003, Proceedings, ICRA'03, IEEE International Conference on IEEE, vol.3, pp.4215-4221, 2003. 10.1109\/robot.2003.1242251","DOI":"10.1109\/ROBOT.2003.1242251"},{"key":"26","unstructured":"[26] O.B. Bayazit, J.M. Lien, and N.M. Amato, \u201cBetter Group Behaviors in Complex Environments using Global,\u201d Artificial Life 8, vol.8, p.362, 2003."},{"key":"27","doi-asserted-by":"publisher","unstructured":"[27] F. Lamarche and S. Donikian, \u201cCrowd of virtual humans: a new approach for real time navigation in complex and structured environments,\u201d Computer Graphics Forum, Blackwell Publishing, Inc, vol.23, no.3, pp.509-518, 2004. 10.1111\/j.1467-8659.2004.00782.x","DOI":"10.1111\/j.1467-8659.2004.00782.x"},{"key":"28","doi-asserted-by":"publisher","unstructured":"[28] J. Pettr\u00e9, P.H. de Ciechomski, J. Ma\u00efm, B. Yersin, J.-P. Laumond, and D. Thalmann, \u201cReal-time navigating crowds: scalable simulation and rendering,\u201d Computer Animation and Virtual Worlds, vol.17, no.3-4, pp.445-455, 2006. 10.1002\/cav.147","DOI":"10.1002\/cav.147"},{"key":"29","doi-asserted-by":"publisher","unstructured":"[29] M. Sung, M. Gleicher, and S. Chenney, \u201cScalable behaviors for crowd simulation,\u201d Computer Graphics Forum, Blackwell Publishing, Inc, vol.23, no.3, pp.519-528, 2004. 10.1111\/j.1467-8659.2004.00783.x","DOI":"10.1111\/j.1467-8659.2004.00783.x"},{"key":"30","doi-asserted-by":"crossref","unstructured":"[30] M. Sung, L. Kovar, and M. Gleicher, \u201cFast and accurate goal-directed motion synthesis for crowds,\u201d Proceedings of the 2005 ACM SIGGRAPH\/Eurographics symposium on Computer animation, ACM, pp.291-300, 2005. 10.1145\/1073368.1073410","DOI":"10.1145\/1073368.1073410"},{"key":"31","unstructured":"[31] T. Abaci, J. Ciger, and D. Thalmann, Planning with smart objects, The 13th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2005 in co-operation with EUROGRAPHICS, pp.25-28, 2005."},{"key":"32","doi-asserted-by":"crossref","unstructured":"[32] K. Yamaguchi, A.C. Berg, L.E. Ortiz, and T.L. Berg, \u201cWho are you with and where are you going?,\u201d Computer Vision and Pattern Recognition (CVPR), 2011 IEEE Conference on IEEE, pp.1345-1352, 2011. 10.1109\/cvpr.2011.5995468","DOI":"10.1109\/CVPR.2011.5995468"},{"key":"33","doi-asserted-by":"crossref","unstructured":"[33] J. van den Berg, M. Lin, and D. Manocha, \u201cReciprocal velocity obstacles for real-time multi-agent navigation,\u201d Robotics and Automation, 2008, ICRA 2008, IEEE International Conference on IEEE, pp.1928-1935, 2008. 10.1109\/robot.2008.4543489","DOI":"10.1109\/ROBOT.2008.4543489"},{"key":"34","doi-asserted-by":"crossref","unstructured":"[34] S. Ali and M. Shah, \u201cA lagrangian particle dynamics approach for crowd flow segmentation and stability analysis,\u201d 2007 IEEE Conference on Computer Vision and Pattern Recognition, IEEE, pp.1-6, 2007. 10.1109\/cvpr.2007.382977","DOI":"10.1109\/CVPR.2007.382977"},{"key":"35","doi-asserted-by":"publisher","unstructured":"[35] W. Ge, R.T. Collins, and R.B. Ruback, \u201cVision-based analysis of small groups in pedestrian crowds,\u201d IEEE transactions on pattern analysis and machine intelligence, vol.34, no.5, pp.1003-1016, 2012. 10.1109\/tpami.2011.176","DOI":"10.1109\/TPAMI.2011.176"},{"key":"36","doi-asserted-by":"crossref","unstructured":"[36] D. Lin, E. Grimson, and J. Fisher, \u201cModeling and estimating persistent motion with geometric flows,\u201d Computer Vision and Pattern Recognition (CVPR), 2010 IEEE Conference on IEEE, pp.1-8, 2000. 10.1109\/cvpr.2010.5539848","DOI":"10.1109\/CVPR.2010.5539848"},{"key":"37","unstructured":"[37] B. Zhou, X. Wang, and X. Tang, \u201cUnderstanding collective crowd behaviors: Learning a mixture model of dynamic pedestrian-agents,\u201d Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on IEEE, pp.2871-2878, 2012. 10.1109\/cvpr.2012.6248013"},{"key":"38","doi-asserted-by":"publisher","unstructured":"[15] D.J. Wolinski, S. Guy, A.-H. Olivier, M. Lin, D. Manocha, and J. Pettr\u00e9, \u201cParameter estimation and comparative evaluation of crowd simulations,\u201d Computer Graphics Forum, vol.33, no.2, pp.303-312, 2014. 10.1111\/cgf.12328","DOI":"10.1111\/cgf.12328"},{"key":"39","doi-asserted-by":"publisher","unstructured":"[39] J. Zhong, N. Hu, W. Cai, M. Lees, and L. Luo, \u201cDensity-based evolutionary framework for crowd model calibration,\u201d Journal of Computational Science, vol.6, pp.11-22, 2015. 10.1016\/j.jocs.2014.09.002","DOI":"10.1016\/j.jocs.2014.09.002"},{"key":"40","doi-asserted-by":"crossref","unstructured":"[40] J. Zhong, W. Cai, L. Luo, and M. Zhao, \u201cLearning behavior patterns from video for agent-based crowd modeling and simulation,\u201d Auton Agent Multi-Agent Syst., vol.30, no.5, pp.990-1019, 2016.","DOI":"10.1007\/s10458-016-9334-8"},{"key":"41","unstructured":"[41] T. Kobayashi, S. Takahashi, M. Kunigami, et al., \u201cHarnessing Organizational Deviation and Kaizen Activities through Agent-Based Modeling,\u201d IEICE Trans. Inf. Syst. (Japanese Edition), vol.J94-D, no.11, pp.1825-1835, 2011."},{"key":"42","unstructured":"[42] K. Nishinari, A. Kirchner, A. Namazi, et al., \u201cExtended floor field CA model for evacuation dynamics[J],\u201d IEICE Trans. Inf. & Syst., vol.E87-D, no.3, pp.726-732, 2004."},{"key":"43","doi-asserted-by":"publisher","unstructured":"[43] T. Ezaki, D. Yanagisawa, K. Ohtsuka, and K. Nishinari, \u201cSimulation of space acquisition process of pedestrians using proxemic floor field model,\u201d Physica A: Statistical Mechanics and its Applications, vol.391, no.1-2, pp.291-299, 2012. 10.1016\/j.physa.2011.07.056","DOI":"10.1016\/j.physa.2011.07.056"}],"container-title":["IEICE Transactions on Information and Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transinf\/E100.D\/8\/E100.D_2016EDP7438\/_pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,24]],"date-time":"2025-06-24T19:17:53Z","timestamp":1750792673000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transinf\/E100.D\/8\/E100.D_2016EDP7438\/_article"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"references-count":43,"journal-issue":{"issue":"8","published-print":{"date-parts":[[2017]]}},"URL":"https:\/\/doi.org\/10.1587\/transinf.2016edp7438","relation":{},"ISSN":["0916-8532","1745-1361"],"issn-type":[{"type":"print","value":"0916-8532"},{"type":"electronic","value":"1745-1361"}],"subject":[],"published":{"date-parts":[[2017]]}}}