
Crowd behavior anomaly detection using correlation of optical flow magnitude
Author(s) -
Pallavi D Chakole,
Vishal R. Satpute,
Naveen Cheggoju
Publication year - 2022
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2273/1/012023
Subject(s) - event (particle physics) , optical flow , anomaly detection , magnitude (astronomy) , anomaly (physics) , flow (mathematics) , motion (physics) , computer science , population , correlation , crowd psychology , action (physics) , plane (geometry) , physics , artificial intelligence , mathematics , mechanics , geometry , image (mathematics) , demography , quantum mechanics , astronomy , sociology , condensed matter physics