"Optical flow and deep learning-based anomaly detection for hajj pilgrimage ..."

Roman Bhuiyan et al. (2025)

> Home

Details and statistics

DOI: 10.1007/S11760-025-04291-5

access: closed

type: Journal Article

metadata version: 2025-09-06

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/sivp/BhuiyanAHFIUKMBS25
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/sivp/BhuiyanAHFIUKMBS25
Roman Bhuiyan, Junaidi Abdullah, Noramiza Hashim, Fahmid Al Farid, Wan Noorshahida Mohd Isa, Jia Uddin, Hezerul Abdul Karim, Sarina Mansor, Duraisamy Balaganesh, Md. Tanjil Sarker:
Optical flow and deep learning-based anomaly detection for hajj pilgrimage crowd monitoring. Signal Image Video Process. 19(9): 754 (2025)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.