Abstract
Fluid methods have been introduced to analysis of crowd movements in videos recent years. Among these methods, Lattice Boltzmann model has been widely used as a quite convenient tool. Moreover, the Lattice Boltzmann model describes crowd movement as fluid, and the particles of the fluid flow randomly. Therefore, it is very difficult for the model to simulate the crowds purpose drive. In this study, a lattice Boltzmann based model added with a traction force term, which represents the crowds purpose drive toward the exit, is proposed. The model input is optical flow velocity field. Less error in the velocity fields computing and the capability in forecasting the crowd state is obtained.
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
Preview
Unable to display preview. Download preview PDF.
References
Ammar, A.: Lattice boltzmann method for polymer kinetic theory. Journal of Non-Newtonian Fluid Mechanics 165(19), 1082–1092 (2010)
Eifi, B.: Discrete lattice effects on the forcing term in the lattice boltzmann method. Physical Review E Phys Rev. EÂ 65, 046308 (2002)
He, X., Luo, L.S.: A priori derivation of the lattice boltzmann equation. Physical Review EÂ 55(6), R6333 (1997)
Higuera, F., Succi, S., Benzi, R.: Lattice gas dynamics with enhanced collisions. EPL (Europhysics Letters)Â 9(4), 345 (1989)
Johansson, A., Helbing, D., Al-Abideen, H.Z., Al-Bosta, S.: From crowd dynamics to crowd safety: A video-based analysis. Advances in Complex Systems 11(04), 497–527 (2008)
Liu, X., Song, W., Zhang, J.: Extraction and quantitative analysis of microscopic evacuation characteristics based on digital image processing. Physica A: Statistical Mechanics and its Applications 388(13), 2717–2726 (2009)
Meng, J., Qian, Y., Li, X., Dai, S.: Lattice boltzmann model for traffic flow. Physical Review EÂ 77(3), 036108 (2008)
Pomeau, B.H.Y., Frisch, U.: Lattice-gas automata for the navier-stokes equation. Phys. Rev. Lett. 56(14), 1505 (1986)
Qian, Y.H., d’Humières, D., Lallemand, P.: Lattice bgk models for navier-stokes equation. EPL (Europhysics Letters) 17(6), 479 (1992)
Rodriguez, M., Ali, S., Kanade, T.: Tracking in unstructured crowded scenes. In: 2009 IEEE 12th International Conference on Computer Vision, pp. 1389–1396. IEEE (2009)
Rodriguez, M., Laptev, I., Sivic, J., Audibert, J.Y.: Density-aware person detection and tracking in crowds. In: 2011 IEEE International Conference on Computer Vision (ICCV), pp. 2423–2430. IEEE (2011)
Seyfried, A., Steffen, B., Klingsch, W., Boltes, M.: The fundamental diagram of pedestrian movement revisited. Journal of Statistical Mechanics: Theory and Experiment 2005(10), P10002 (2005)
Steffen, B., Seyfried, A.: Methods for measuring pedestrian density, flow, speed and direction with minimal scatter. Physica A: Statistical Mechanics and Its Applications 389(9), 1902–1910 (2010)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Tao, Y., Liu, P., Zhao, W., Tang, X. (2014). Forecasting Crowd State in Video by an Improved Lattice Boltzmann Model. In: Loo, C.K., Yap, K.S., Wong, K.W., Beng Jin, A.T., Huang, K. (eds) Neural Information Processing. ICONIP 2014. Lecture Notes in Computer Science, vol 8836. Springer, Cham. https://doi.org/10.1007/978-3-319-12643-2_7
Download citation
DOI: https://doi.org/10.1007/978-3-319-12643-2_7
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-12642-5
Online ISBN: 978-3-319-12643-2
eBook Packages: Computer ScienceComputer Science (R0)