S. Ali and M. Shah, Floor fields for tracking in high density crowd scenes, European Conference on Computer Vision, pp.1-14, 2008.

S. Behera, D. P. Dogra, and P. P. Roy, Characterization of dense crowd using gibbs entropy, Proceedings of 2nd International Conference on Computer Vision & Image Processing, pp.289-300, 2018.

H. Idrees, N. Warner, and M. Shah, Tracking in dense crowds using prominence and neighborhood motion concurrence, Image and Vision Computing, vol.32, issue.1, pp.14-26, 2014.

M. K. Lim, V. J. Kok, C. C. Loy, and C. S. Chan, Crowd saliency detection via global similarity structure, 2014 22nd International Conference on Pattern Recognition, pp.3957-3962, 2014.

V. Ranjan, H. Le, and M. Hoai, Iterative crowd counting, ECCV, pp.270-285, 2018.

C. E. Shannon, A mathematical theory of communication. Bell system technical journal, vol.27, pp.379-423, 1948.

B. Solmaz, B. E. Moore, and M. Shah, Identifying behaviors in crowd scenes using stability analysis for dynamical systems, TPAMI, vol.34, issue.10, pp.2064-2070, 2012.

J. Vandoni, E. Aldea, and S. L. Hégarat-mascle, Evaluating crowd density estimators via their uncertainty bounds, ICIP. IEEE, 2019.
URL : https://hal.archives-ouvertes.fr/hal-02338016

P. Weinzaepfel, J. Revaud, Z. Harchaoui, and C. Schmid, Deepflow: Large displacement optical flow with deep matching, Proceedings of the IEEE International Conference on Computer Vision, pp.1385-1392, 2013.
URL : https://hal.archives-ouvertes.fr/hal-00873592

G. S. , Y. Zhao, M. Yuan, and T. Chen, Entropyand dynamics analysis ofcrowd motions phase transition, 2015.

X. Zhang and Z. He, Crowd panic state detection using entropy of the distribution of enthalpy, Physica A: Statistical Mechanics and its Applications, 2019.

Y. Zhao, M. Yuan, G. Su, and T. Chen, Crowd macro state detection using entropy model, Physica A: Statistical Mechanics and its Applications, vol.431, pp.84-93, 2015.

Y. Zhao, M. Yuan, G. Su, and T. Chen, Crowd security detection based on entropy model, ISCRAM, 2015.

B. Zhou, X. Tang, and X. Wang, Measuring crowd collectiveness, Proceedings of the IEEE conference on computer vision and pattern recognition, pp.3049-3056, 2013.