Abstract
Computer simulations are used to create and evaluate real world scenarios in a manner that is controlled, non intrusive, cost effective and safe. One technology for realising computer simulation is Multi Agent Based Simulation (MABS), the advantage being that the entities that feature in a simulation can be expressed as agents that have all the features associated with agents (autonomy, goal driven, etc.). A particular challenge of MABS is the acquisition of the data required to define agent behaviour. One approach is to “hand craft” agent behaviour, however this is error prone and time consuming. In this paper we proposed a method whereby we can extract, what we have termed “Movement Patterns” (MPs) which in turn can be used to drive agents in a MABS environment.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Agiriga, E.: A Multi Agent Based Simulation Framework For Mammalian Behaviour. Ph.D. thesis, Department of Computer Science, Univeristy of Liverpool (2016)
Agiriga, E., Coenen, F., Hurst, J., Kowalski, D.: A multiagent based framework for the simulation of mammalian behaviour. In: Bramer, M., Petridis, M. (eds.) Research and Development in Intelligent Systems XXX, pp. 435–441. Springer, Cham (2013). doi:10.1007/978-3-319-02621-3_32
Bonabeau, E.: Agent-based modeling: methods and techniques for simulating human systems. Proc. Natl. Acad. Sci. 99(suppl 3), 7280–7287 (2002)
Choy, K., Hopgood, A.A., Nolle, L., O’Neill, B.: Implementation of a tileworld testbed on a distributed blackboard system. In: The 18th European Simulation Multiconference (2004)
Dumont, B., Hill, D.R.: Multi-agent simulation of group foraging in sheep: effects of spatial memory, conspecific attraction and plot size. Ecol. Model. 141, 201–215 (2001). Elsevier
Klügl, F., Rindsfüser, G.: Large-scale agent-based pedestrian simulation. In: Petta, P., Müller, J.P., Klusch, M., Georgeff, M. (eds.) MATES 2007. LNCS, vol. 4687, pp. 145–156. Springer, Heidelberg (2007). doi:10.1007/978-3-540-74949-3_13
Malleson, N., See, L., Evans, A., Heppenstall, A.: Implementing comprehensive offender behaviour in a realistic agent-based model of burglary. Simulation 88, 50–71 (2010). doi:10.1177/0037549710384124
Pan, X., Han, C.S., Dauber, K., Law, K.H.: A multi-agent based framework for the simulation of human and social behaviors during emergency evacuations. AI Soc. 22, 113–132 (2007). Springer
Pavón, J., Gómez-Sanz, J.: Agent oriented software engineering with INGENIAS. In: Multi-Agent Systems and Applications III, pp. 394–403. Springer (2003)
Pratt, S.C., Sumpter, D.J., Mallon, E.B., Franks, N.R.: An agent-based model of collective nest choice by the ant Temnothorax albipennis. Anim. Behav. 70(5), 1023–1036 (2005)
Schank, J.C.: The development of locomotor kinematics in neonatal rats: an agent-based modeling analysis in group and individual contexts. J. Theor. Biol. 254(4), 826–842 (2008)
Siebers, P.-O., Aickelin, U.: Introduction to multi-agent simulation (2008)
Sun, S., Manson, S.M.: Simple agents, complex emergent city: agent-based modeling of intraurban migration. In: Helbich, M., Jokar Arsanjani, J., Leitner, M. (eds.) Computational Approaches for Urban Environments. GE, vol. 13, pp. 123–147. Springer, Cham (2015). doi:10.1007/978-3-319-11469-9_6
Topping, C.J., Hansen, T.S., Jensen, T.S., Jepsen, J.U., Nikolajsen, F., Odderskær, P.: ALMaSS, an agent-based model for animals in temperate european landscapes. Ecol. Model. 167(1), 65–82 (2003)
Tufail, M., Coenen, F., Mu, T., Rind, S.J.: Mining movement patterns from video data to inform multi-agent based simulation. In: Cao, L., Zeng, Y., An, B., Symeonidis, A.L., Gorodetsky, V., Coenen, F., Yu, P.S. (eds.) ADMI 2014. LNCS, vol. 9145, pp. 38–51. Springer, Cham (2015). doi:10.1007/978-3-319-20230-3_4
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this paper
Cite this paper
Tufail, M., Coenen, F., Mu, T. (2017). Extracting Movement Patterns from Video Data to Drive Multi-Agent Based Simulations. In: Nardin, L., Antunes, L. (eds) Multi-Agent Based Simulation XVII. MABS 2016. Lecture Notes in Computer Science(), vol 10399. Springer, Cham. https://doi.org/10.1007/978-3-319-67477-3_7
Download citation
DOI: https://doi.org/10.1007/978-3-319-67477-3_7
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-67476-6
Online ISBN: 978-3-319-67477-3
eBook Packages: Computer ScienceComputer Science (R0)