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Counting the Number of People in Crowd as a Part of Automatic Crowd Monitoring: A Combined Approach

  • Yashna BhartiEmail author
  • Ravi Saharan
  • Ashutosh Saxena
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 106)

Abstract

This paper describes a new technique for counting the number of people in a crowd, as a part of automatic crowd monitoring. The technique involves combining the two domains of crowd size estimation, one is approximate crowd size estimation and the second is counting the exact number of people in the crowd. A simple technique based on image features is used to approximate the crowd size, depending on which crowd is divided into different classes and then a technique of exact crowd count suitable for the class of image is applied to get the number of people in the crowd. Combining the two techniques may increase the time complexity, but at the same time, there is a significant increase in accuracy, which is the primary concern. It would be useful for agencies involved in the security of the gathering to avoid crowd-related disaster and also for organizations which are responsible for giving data related to the number of people appearing in public events.

Keywords

Crowd density People counting Feature extraction Human detection 

Notes

Acknowledgements

The crowd images used in research is taken from a site called crowd safety and risk analysis. The link is: http://www.gkstill.com.

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Central University of RajasthanAjmerIndia
  2. 2.CMR Technical Campus HyderabadHyderbadIndia

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