Abnormal Activity Recognition from Surveillance Videos Using Convolutional Neural Network.

Journal: Sensors (Basel, Switzerland)
PMID: 34960386

Abstract

UNLABELLED: Background and motivation: Every year, millions of Muslims worldwide come to Mecca to perform the Hajj. In order to maintain the security of the pilgrims, the Saudi government has installed about 5000 closed circuit television (CCTV) cameras to monitor crowd activity efficiently.

Authors

  • Shabana Habib
    Department of Information Technology, College of Computer, Qassim University, Buraydah 52571, Saudi Arabia.
  • Altaf Hussain
    Institute of Management Sciences (IMSciences), Peshawar 25000, Pakistan.
  • Waleed Albattah
    Department of Information Technology, College of Computer, Qassim University, Buraydah, Saudi Arabia.
  • Muhammad Islam
    Punjab University College of Pharmacy, University of the Punjab Allama Iqbal Campus, Lahore-54030 Lahore, Pakistan.
  • Sheroz Khan
    Department of Electrical Engineering, College of Engineering and Information Technology, Unaizah Colleges, Unaizah 56447, Saudi Arabia.
  • Rehan Ullah Khan
    Department of Information Technology, College of Computer, Qassim University, Al-Mulida 51431, Saudi Arabia.
  • Khalil Khan
    Department of Electrical Engineering, University of Azad Jammu and Kashmir, Muzaffarabad 13100, Pakistan.

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