STM Journals Peer-reviewed research from Consortium e-Learning Network

Journal of Multimedia Technology & Recent Advancements

Abnormal Crowd Behavior Detection System

  1. Pratiksha Bhosale
  2. Omkar Jadhav
  3. Pratiksha Mote
  4. Praveen Shinde

Abstract

Abnormal crowd behavior system is designed for security purpose in public sector. The system is developed using ML algorithms such as CNN and Image processing. It performs the functions to detect the abnormality in the crowd by detecting abnormal actions such as fighting, running, etc. where there is threshold value set for different places. This system can be used to reduce human work considering the accuracy and effectiveness of the system without any false attentionAn abnormal crowd behavior system is designed for security purposes in the public sector. The system is developed using ML algorithms such as CNN and image processing. It performs the functions to detect the abnormality in the crowd by detecting abnormal actions such as fighting, running, etc. where there is a threshold value set for different places. This system can be used to reduce human work considering the accuracy and effectiveness of the system without any false attention.

Keywords

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