Defining Crowd Movement as Parabola and Classifying These Definitions

Murat Akpulat; Murat Ekinci

doi:10.18100/ijamec.269245

Konferans Bildirisi

Defining Crowd Movement as Parabola and Classifying These Definitions

Yıl 2016, Special Issue (2016), 165 - 169, 01.12.2016

Murat Akpulat Murat Ekinci

https://doi.org/10.18100/ijamec.269245

Öz

Smart surveillance systems developed in recent years have made enormous contributions to providing safety and management

of crowds. The aim of this study is to observe and try to understand how crowd movements presented in a video sequence show behaviour.

For this end, the motion data at pixel level among the consecutive frames is obtained using optical flow initially. Then, this motion data is

associated using the particle advection method and stable as well as moving areas in the image are obtained. After, the moving areas

clustered using Mean-Shift method are described and classified as parabola, in addition to the studies in the literature. At the end of the

study, the method developed was tested over UCF as well as Pets2009 datasets and the results are presented.

Anahtar Kelimeler

Crowd Analysis, Particle Advection, Optical flow

Kaynakça

[1] C. S. Jacques Junior, S. R. Musse, and C. R. Jung, Crowd analysis using computer vision techniques, IEEE Signal Processing Magazine,vol. 27, no. 5, pp. 66–77, 2010.
[2] B. Zhan, D. N. Monekosso, P. Remagnino, S. A. Velastin, and L. Xu, Crowd analysis: a survey, Machine Vision and Applications, vol. 19,no. 5-6, pp. 345–357, 2008.
[3] N. Sjarif, S. Shamsuddin, and S. Hashim, Detection of abnormal behaviors in crowd scenes: a review, International Journal of Advances in Soft Computing and Its Applications, vol. 3, no. 3, pp. 1–33, 2011.
[4] M. Thida, Y. Yong, P. Climent-Prez, H.-l. Eng, and P. Remagnino, A literature review on video analytics of crowded scenes, Intelligent Multimedia Surveillance. Springer Berlin Heidelberg, 2013, pp. 17–36.
[5] T. Li, H. Chang, M. Wang, B. Ni, R. Hong, and S. Yan, Crowded Scene Analysis: A Survey, IEEE Transactions on Circuits and Systems for Video Technology, 2015.
[6] B.T.Morris, M.M.Trivedi, A Survey of Vision-BasedTrajectory Learning and Analysis for Surveillance, IEEE Transactions on Circuits and Systems For Video Technology
[7] M. Hu, A. Saad and M. Shah, Learning Motion Patterns in Crowded Scenes Using Motion Flow Field, in 19th International Conference on Pattern Recognition, ICPR, 2008.
[8] A.Dehghan M.M.Kalayeh, Understanding Crowd Collectivity: A Meta-Tracking Approach IEEE International Conference on Computer Vision and Pattern Recognition Workshop(CVPRW) 2015
[9] Bolei Zhou, Xiaoou Tang, and Xiaogang Wang, Measuring Crowd Collectiveness, IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2013.

Yıl 2016, Special Issue (2016), 165 - 169, 01.12.2016

Murat Akpulat Murat Ekinci

https://doi.org/10.18100/ijamec.269245

Öz

Kaynakça

[1] C. S. Jacques Junior, S. R. Musse, and C. R. Jung, Crowd analysis using computer vision techniques, IEEE Signal Processing Magazine,vol. 27, no. 5, pp. 66–77, 2010.
[2] B. Zhan, D. N. Monekosso, P. Remagnino, S. A. Velastin, and L. Xu, Crowd analysis: a survey, Machine Vision and Applications, vol. 19,no. 5-6, pp. 345–357, 2008.
[3] N. Sjarif, S. Shamsuddin, and S. Hashim, Detection of abnormal behaviors in crowd scenes: a review, International Journal of Advances in Soft Computing and Its Applications, vol. 3, no. 3, pp. 1–33, 2011.
[4] M. Thida, Y. Yong, P. Climent-Prez, H.-l. Eng, and P. Remagnino, A literature review on video analytics of crowded scenes, Intelligent Multimedia Surveillance. Springer Berlin Heidelberg, 2013, pp. 17–36.
[5] T. Li, H. Chang, M. Wang, B. Ni, R. Hong, and S. Yan, Crowded Scene Analysis: A Survey, IEEE Transactions on Circuits and Systems for Video Technology, 2015.
[6] B.T.Morris, M.M.Trivedi, A Survey of Vision-BasedTrajectory Learning and Analysis for Surveillance, IEEE Transactions on Circuits and Systems For Video Technology
[7] M. Hu, A. Saad and M. Shah, Learning Motion Patterns in Crowded Scenes Using Motion Flow Field, in 19th International Conference on Pattern Recognition, ICPR, 2008.
[8] A.Dehghan M.M.Kalayeh, Understanding Crowd Collectivity: A Meta-Tracking Approach IEEE International Conference on Computer Vision and Pattern Recognition Workshop(CVPRW) 2015
[9] Bolei Zhou, Xiaoou Tang, and Xiaogang Wang, Measuring Crowd Collectiveness, IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2013.

Toplam 9 adet kaynakça vardır.

Ayrıntılar

Konular	Mühendislik
Bölüm	Research Article
Yazarlar	Murat Akpulat Murat Ekinci
Yayımlanma Tarihi	1 Aralık 2016
Yayımlandığı Sayı	Yıl 2016 Special Issue (2016)

Kaynak Göster

APA	Akpulat, M., & Ekinci, M. (2016). Defining Crowd Movement as Parabola and Classifying These Definitions. International Journal of Applied Mathematics Electronics and Computers(Special Issue-1), 165-169. https://doi.org/10.18100/ijamec.269245
AMA	Akpulat M, Ekinci M. Defining Crowd Movement as Parabola and Classifying These Definitions. International Journal of Applied Mathematics Electronics and Computers. Aralık 2016;(Special Issue-1):165-169. doi:10.18100/ijamec.269245
Chicago	Akpulat, Murat, ve Murat Ekinci. “Defining Crowd Movement As Parabola and Classifying These Definitions”. International Journal of Applied Mathematics Electronics and Computers, sy. Special Issue-1 (Aralık 2016): 165-69. https://doi.org/10.18100/ijamec.269245.
EndNote	Akpulat M, Ekinci M (01 Aralık 2016) Defining Crowd Movement as Parabola and Classifying These Definitions. International Journal of Applied Mathematics Electronics and Computers Special Issue-1 165–169.
IEEE	M. Akpulat ve M. Ekinci, “Defining Crowd Movement as Parabola and Classifying These Definitions”, International Journal of Applied Mathematics Electronics and Computers, sy. Special Issue-1, ss. 165–169, Aralık 2016, doi: 10.18100/ijamec.269245.
ISNAD	Akpulat, Murat - Ekinci, Murat. “Defining Crowd Movement As Parabola and Classifying These Definitions”. International Journal of Applied Mathematics Electronics and Computers Special Issue-1 (Aralık 2016), 165-169. https://doi.org/10.18100/ijamec.269245.
JAMA	Akpulat M, Ekinci M. Defining Crowd Movement as Parabola and Classifying These Definitions. International Journal of Applied Mathematics Electronics and Computers. 2016;:165–169.
MLA	Akpulat, Murat ve Murat Ekinci. “Defining Crowd Movement As Parabola and Classifying These Definitions”. International Journal of Applied Mathematics Electronics and Computers, sy. Special Issue-1, 2016, ss. 165-9, doi:10.18100/ijamec.269245.
Vancouver	Akpulat M, Ekinci M. Defining Crowd Movement as Parabola and Classifying These Definitions. International Journal of Applied Mathematics Electronics and Computers. 2016(Special Issue-1):165-9.