CFP last date
20 January 2025
Call for Paper
February Edition
IJCA solicits high quality original research papers for the upcoming February edition of the journal. The last date of research paper submission is 20 January 2025

Submit your paper
Know more
The week's pick
Responsive image
SFLA-Based Line Balancing and Task Optimization in Master-Slave Controlled Hanger Transportation Systems for Garment Production

Duc Hoang Nguyen
Random Articles
Reseach Article

Automatic Estimation of Crowd Density

Published on April 2018 by Jugal Kishor Gupta, S. K. Gupta
journal_cover_thumbnail

International Conference on Recent Developments in Science, Technology, Humanities and Management
Foundation of Computer Science USA
ICRDSTHM2017 - Number 2
April 2018
Authors: Jugal Kishor Gupta, S. K. Gupta
84715cd0-6b05-4a49-af3b-3cc91bfc7ecb

Jugal Kishor Gupta, S. K. Gupta . Automatic Estimation of Crowd Density. International Conference on Recent Developments in Science, Technology, Humanities and Management. ICRDSTHM2017, 2 (April 2018), 7-10.

@article{
author = { Jugal Kishor Gupta, S. K. Gupta },
title = { Automatic Estimation of Crowd Density },
journal = { International Conference on Recent Developments in Science, Technology, Humanities and Management },
issue_date = { April 2018 },
volume = { ICRDSTHM2017 },
number = { 2 },
month = { April },
year = { 2018 },
issn = 0975-8887,
pages = { 7-10 },
numpages = 4,
url = { /proceedings/icrdsthm2017/number2/29315-7018/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Recent Developments in Science, Technology, Humanities and Management
%A Jugal Kishor Gupta
%A S. K. Gupta
%T Automatic Estimation of Crowd Density
%J International Conference on Recent Developments in Science, Technology, Humanities and Management
%@ 0975-8887
%V ICRDSTHM2017
%N 2
%P 7-10
%D 2018
%I International Journal of Computer Applications
Abstract

This paper considers the problem of automatic estimation of crowd densities, an important part of the problem of automatic crowd monitoring and control. Anew technique based on texture description of the images of the area under surveillance is proposed. Two methods based on different approaches of texture analysis, one statistical and another spectral, are applied on real images captured in an area of Liverpool Street Railway Station, London, UK. The results obtained show that both methods present similar general rates of correct estimation, and that the potential use of texture description for the problem of automatic estimation of crowd densities is encouraging

References
  1. A. C. Davies, J. H. Yin, S. A. Velastin, 1995. Crowd monitoring using image processing. Electronics and Communications Engineering Journal, February , pp. 37-47.
  2. Chow T. W. S. Cho, S. Y. C. T. Leung, 1999. A Neural based Crowd Estimation by Hybrid Global Learning Algorithm. IEEE Transaction on Systems, Man, and Cybernetics, pp. 535-541.
  3. Da Fontoura Costa L. Lotufo R. Velastin S Marana, A. , 1999. Estimating Crowd Density with Minkowski Fractal Dimension, Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing, pp. 3521-3524.
  4. Velastin S. Costa L. Lotufo R. Marana, A. , 1998. Automatic estimation of crowd density using texture. Safety Sci, Volume 28, Issue 3, pp. 165-175.
  5. Velastin, S. , Yin, J. , Davies, A. , Vicencio-Silva, M. , Allsop, R. , Penn, A. , 1994. Automated Measurement of Crowd Density and Motion Using Image Processing. Road Traffic Monitoring and Control, In Seventh International Conference, pp. 127–132.
  6. Antonio Albiol, Maria Julia Silla, Alberto Albiol and Jos´e Manuel Mossi, 2009. Video Analysis using Corner Motion Statistics. Proceedings 11th IEEE International Workshop on PETS, Miami,.
  7. Donatello Conte, Pasquale Foggia, Gennaro Percannella, 2010. A Method for Counting Moving People in Video Surveillance Videos, EURASIP Journal on Advances inSignal Processing.
  8. A. N. Marana, L. F. Costa, R. A. Lotufo, S. A. Velastin, 1998. On the efficacy of texture analysis for crowdmonitoring. Computer Graphics, Image Processing, andVision, pp. 354-361.
  9. Schofer J. Ushpiz A. Polus, A. , 1983. Pedestrian Flow and Levelof Service. Journal Transportation Eng?Volume 109, Issue 1, pp. 46-56.
  10. Zi Ye, Jinqiao Wang, Zhenchong Wang, HanqingLu, 2012. Multiple features fusion for crowd density estimation. Proceeding ICIMCS'12 Proceedings of the 4thInternational Conference on Internet MultimediaComputing and Service, pp. 42-45.
  11. Subburaman V B, Descamps A,2012. Carincotte C. Counting People in the Crowd Using a Generic HeadDetector[C]. Proceedings of 2012 IEEE 9thInternationalConference on Advanced Video and Signal-BasedSurveillance (AVSS): September 18-21, 2012. Beijing,China, pp. 470-475.
  12. M. Thida, Y. L. Yong, P. Climent-Perez, P. Remagnino, E. L. How, 2013. A LiteratureReview on Video Analytics of Crowded Scenes, Intelligent Multimedia Surveillance,Springer.
  13. B. Zhan, D. N. Monekosso, S. A. Remagnino, P. Velastin, L. -Q. Xu, Crowd analysis:a survey, Mach. Vis. Appl. Volume 19, Isue 5–6, 345–357.
  14. J. C. S. Jacques Junior, S. Raupp Musse, C. R. Jung, 2010, Crowd Analysis using Computervision Techniques, Signal Process. Mag. , Volume 27, Issue 5, pp. 66–77.
  15. N. N. A. Sjarif, S. M. Shamsuddin, S. Z. Hashim, 2012. Detection of Abnormal Behaviorsin Crowd Scene: A Review, International Journal Advance Soft Comput. Applications, Volume 4, Issue 1, pp. 1-33.
  16. C. C. Loy, K. Chen, S. Gong, X. Tao, 2013. Crowd Counting and Profiling: Methodology and Evaluation, in Modeling, Simulation and Visual Analysis of Crowds, Springer, pp. 347–382.
  17. T. Li, H. Chang, M. Wang, B. Ni, R. Hong, S. Yan, 2014. Crowded scene analysis: asurvey, Circuits Syst. Video Technol. (CSVT), Volume 25, Issue 3, pp. 367–386.
  18. R. L. Hughes, 2003. The Flow of Human Crowd, Annual Review Fluid Mech. , Volume 35. Issue 1, pp. 169–182.
  19. Richard Leggett, 2004. Real-Time Crowd Simulation: A Review, R. Leggett.
  20. V. Alexiadis, K. Jeannotte, A. Chandra, 2004. Traffic Analysis Toolbox Volume i:Traffic Analysis Tools Primer, Technical Report.
Index Terms

Computer Science
Information Sciences

Keywords

Crowd Image Surveillance