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Design and Analysis of Crowd Sized Estimation Techniques

by Jugal Kishor Gupta, S K Gupta
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 107 - Number 19
Year of Publication: 2014
Authors: Jugal Kishor Gupta, S K Gupta
10.5120/18861-0521

Jugal Kishor Gupta, S K Gupta . Design and Analysis of Crowd Sized Estimation Techniques. International Journal of Computer Applications. 107, 19 ( December 2014), 26-28. DOI=10.5120/18861-0521

@article{ 10.5120/18861-0521,
author = { Jugal Kishor Gupta, S K Gupta },
title = { Design and Analysis of Crowd Sized Estimation Techniques },
journal = { International Journal of Computer Applications },
issue_date = { December 2014 },
volume = { 107 },
number = { 19 },
month = { December },
year = { 2014 },
issn = { 0975-8887 },
pages = { 26-28 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume107/number19/18861-0521/ },
doi = { 10.5120/18861-0521 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:41:30.943316+05:30
%A Jugal Kishor Gupta
%A S K Gupta
%T Design and Analysis of Crowd Sized Estimation Techniques
%J International Journal of Computer Applications
%@ 0975-8887
%V 107
%N 19
%P 26-28
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper considers the different technique of estimation of crowd densities, an important part of the problem of automatic crowd monitoring and control. A new technique based on texture description of the images of the area under surveillance is proposed.

References
  1. Julio cezar Silvira Jacques Junior et. al , "crowd analysis using computer vision technique : A survey", IEEE signal Processing Magazine, September 2010.
  2. A. N. marana, S. A. Velastin, L. F. Costa, "Autommation Estimation of crowd density Using Texture", IWSIP'97,May 28-30.
  3. A. C. Davies, J. H. Yin, S. A. Velastin, "Crowd Monitoring using image processing", electronics And communications engineering journal},February, pp. 37-47, 1995.
  4. Mikel Rodriguez, Ivan Laptev, Josef Sivic, Jean-Yves Audibert, "Density-aware person detection and tracking in crowds",Proceedings of the IEEE International Conference on Computer Vision (2011), Poster.
  5. Bobo wang, hong bao, shan yang, and haitao lou, "crowd density estimation based on texture Feature extraction ",journal of multimedia, vol. 8, no. 4, august 2013 .
  6. Jia Hong Yin, sergio a. Velastin and anthony c. Davies, "image processing techniques forCrowd density estimation using a reference image",second asian conference on computer vision (accv95), singapore, 5-8 december, vol. Iii, pp 6-10.
  7. Qing WEN, Chengcheng JIA et al. People Number Estimation in the Crowded Scenes Using Texture Analysis Based on Gabor Filter. Journal of Computational Information Systems 7: 11 (2011) pp. 3754-3763
  8. Zhaoxiang Zhang, Min Li. Crowd density estimation based on statistical analysis of local intra-crowd motions for public area surveillance. Optical Engineering. 51(4) , 2012
  9. D. B. Yang, H. H. Gonzalez-Banos, L. J. Guibas. Counting people in crowds with a real-time network of simple image sensors. Proceedings. Ninth IEEE International Conference on Computer Vision, 2003, 1 pp. 122-129
  10. Kumar, T. and K. Verma, 2010a. A theory based on conversion of RGB image to gray image. Int. J. Comput. Appli. , 7: 5-12. DOI: 10. 5120/1140-1493
  11. S. Bouchafa, d. Aubert, and s. Bouza, "crowd motion Estimation and motionless detection in subway corridors By image processing", (itsc) intelligent transportation System ,ieee conference, pp. 332 - 337, (1997).
Index Terms

Computer Science
Information Sciences

Keywords

crowd image and surveillance etc.

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