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Automated Crowd Controlling System Using Image Processing and Video Processing Technique to Avoid Stamped

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  • Syeda Ruheena Quadri

    (Maulana Azad College, Aurangabad, India)

Abstract

Crowd control is needed to prevent the outbreak of disorder and prevent possible stampedes. An automated detection of people crowds from images has become a very important research field. Due to the importance of the topic, many researchers tried to solve this problem using CCTV street cameras. There are still significant problems in managing public pedestrian transport areas such as railway stations, stadiums, shopping malls, and religious gatherings. Using CCTV cameras, some image processing techniques are suitable for an automatic crowd monitoring system. The feasibility of such a system has been tested by analyzing the crowd behavior, crowd density and motion. Traditional measurement techniques, based on manual observations, are not suitable for comprehensive data collection of patterns of density and movement. Real-time monitoring is tedious and tiring, but critical for safety. The author has investigated a number of techniques for crowd density estimation, movement estimation, incident detection and their merits using image processing.

Suggested Citation

  • Syeda Ruheena Quadri, 2019. "Automated Crowd Controlling System Using Image Processing and Video Processing Technique to Avoid Stamped," International Journal of Applied Evolutionary Computation (IJAEC), IGI Global, vol. 10(3), pages 19-26, July.
    • Handle: RePEc:igg:jaec00:v:10:y:2019:i:3:p:19-26
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