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Crowd Management using Viola Jones Algorithm and Heuristic Data Mining

by Ajit Naik, Divyesh Darde, Shraddha Chitalia, Vidya Zope
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 84 - Number 17
Year of Publication: 2013
Authors: Ajit Naik, Divyesh Darde, Shraddha Chitalia, Vidya Zope
10.5120/14676-2949

Ajit Naik, Divyesh Darde, Shraddha Chitalia, Vidya Zope . Crowd Management using Viola Jones Algorithm and Heuristic Data Mining. International Journal of Computer Applications. 84, 17 ( December 2013), 9-13. DOI=10.5120/14676-2949

@article{ 10.5120/14676-2949,
author = { Ajit Naik, Divyesh Darde, Shraddha Chitalia, Vidya Zope },
title = { Crowd Management using Viola Jones Algorithm and Heuristic Data Mining },
journal = { International Journal of Computer Applications },
issue_date = { December 2013 },
volume = { 84 },
number = { 17 },
month = { December },
year = { 2013 },
issn = { 0975-8887 },
pages = { 9-13 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume84/number17/14676-2949/ },
doi = { 10.5120/14676-2949 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:01:13.596858+05:30
%A Ajit Naik
%A Divyesh Darde
%A Shraddha Chitalia
%A Vidya Zope
%T Crowd Management using Viola Jones Algorithm and Heuristic Data Mining
%J International Journal of Computer Applications
%@ 0975-8887
%V 84
%N 17
%P 9-13
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Image processing techniques like face detection play a significant role in counting the number of people present at any given location which is under surveillance of a camera or any face detection system. This data collected can be processed and analyzed to deduce important findings. Data Mining plays a major role in analysis of this data and production of important statistics. Based on these statistics important decisions are made. This paper proposes one such system that uses Viola Jones face detection algorithm to keep a count of number of visitors at railway station throughout the day and heuristic data mining technique to analyze this stored data and suggest the required action.

References
  1. Zhan, Beibei, et al. "Crowd analysis: a survey. " Machine Vision and Applications 19. 5-6 (2008): 345-357.
  2. Lovell, Brian C. , Shaokang Chen, and Ting Shan. "Real-Time Face Detection and Classification for ICCTV. " (2009): 1659-1666.
  3. Davies A C, Yin J H, Velastin S A, et al. "Crowd Monitoring Using Image Processing". IEE Electronics and Communication Engineering Journal, Vol. 7, no. 1, pp. 37-47, 1995.
  4. Jones, Michael, and Paul Viola. "Fast multi-view face detection. " Mitsubishi Electric Research Lab TR-20003-96 3 (2003): 14
  5. Viola, Paul, Michael J. Jones, and Daniel Snow. "Detecting pedestrians using patterns of motion and appearance. " International Journal of Computer Vision63. 2 (2005): 153-161.
  6. Viola, Paul, and Michael Jones. "Rapid object detection using a boosted cascade of simple features. " Computer Vision and Pattern Recognition, 2001. CVPR 2001. Proceedings of the 2001 IEEE Computer Society Conference on. Vol. 1. IEEE, 2001.
  7. Ham Kamber data mining book: Han, Jiawei, MichelineKamber, and Jian Pei. Data mining: concepts and techniques. Morgan kaufmann, 2006.
  8. Article from "The Times of India" dated May 19, 2013 on the crowd at different railway stations in Mumbai Suburban network: http://articles. timesofindia. indiatimes. com/2013-05-19/mumbai/39369149_1_passengers-mumbai-rail-vikas-corporation-harbour-line: This is the official website for E-paper of 'The Times of India' is a leading newspaper in India.
  9. Park, Byung-Hoon, and Hillol Kargupta. "Distributed data mining: Algorithms, systems, and applications. " (2002).
  10. Map of Suburban Railway Network Mumbai: http://www. mapsofindia. com/maps/mumbai/mumbai_rail. htm
Index Terms

Computer Science
Information Sciences

Keywords

Viola Jones Algorithm Crowd Management Local Trains Train Management

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