Abstract
This paper presents a technique for real-time crowd density estimation based on textures of crowd images. In this technique, the current image from a sequence of input images is classified into a crowd density class. Then, the classification is corrected by a low-pass filter based on the crowd density classification of the last n images of the input sequence. The technique obtained 73.89% of correct classification in a real-time application on a sequence of 9892 crowd images. Distributed processing was used in order to obtain real-time performance.
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.
Similar content being viewed by others
References
Davies, A.C., Yin, J.H., Velastin, S.A.: Crowd Monitoring Using Image Processing. Electron. Commun. Eng. J. 7, 37–47 (1995)
Regazzoni, C.S., Tesei, A.: Distributed Data Fusion for Real-Time Crowding Estimation. Signal Proc. 53, 47–63 (1996)
Tesei, A., Regazzoni, C.S.: Local Density Evaluation and Tracking of Multiple Objects from Complex Image Sequences. In: Proc. 20th Intern. Conf. IECON, Bologna, Italy, vol. 2, pp. 744–748 (1994)
Lin, S.F., Chen, J.Y., Chao, H.X.: Estimation of Number of People in Crowd Scenes Using Perspective Transformation. IEEE Trans. Sys., Man, Cyber. A 31, 645–654 (2001)
Cho, S.Y., Chow, T.W.S., Leung, C.T.: A Neural-Based Crowd Estimation by Hybrid Global Learning Algorithms. IEEE Trans. Sys., Man, Cyber. B 29, 535–541 (1999)
Marana, A.N., Velastin, S.A., Costa, L.F., Lotufo, R.A.: Automatic Estimation of Crowd Density Using Texture. Safety Science 28, 165–175 (1998)
Marana, A.N., Costa, L.F., Lotufo, R.A., Velastin, S.A.: Estimating Crowd Density with Minkowski Fractal Dimension. In: IEEE Proceedings of the International Conference on Acoustics, Speech and Signal Processing, vol. VI, pp. 3521–3524 (1999)
Marana, A.N., Verona, V.V.: Wavelet Packet Analysis for Crowd Density Estimation. In: Proc. IASTED Inter. Symposia on Applied Informatics, Innsbruck, Austria, pp. 535–540. Acta Press (2001)
Kohonen, T.: The Self-Organizing Map. Proceedings of the IEEE 78, 1464–1480 (1990)
Haralick, R.M.: Statistical and Structural Approaches to Texture. Proceedings of the IEEE 67(5), 786–804 (1979)
Geist, A., Beguelin, A., Dongarra, J., Jiang, W., Manchek, R., Sunderan, V.: PVM: Parallel Virtual Machine – A User’s Guide and Tutorial for Networked Parallel Computing. The MIT Press, Cambridge (1994)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Marana, A.N., Cavenaghi, M.A., Ulson, R.S., Drumond, F.L. (2005). Real-Time Crowd Density Estimation Using Images. In: Bebis, G., Boyle, R., Koracin, D., Parvin, B. (eds) Advances in Visual Computing. ISVC 2005. Lecture Notes in Computer Science, vol 3804. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11595755_43
Download citation
DOI: https://doi.org/10.1007/11595755_43
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-30750-1
Online ISBN: 978-3-540-32284-9
eBook Packages: Computer ScienceComputer Science (R0)