Open AccessResearch on Multiple Abnormal Behaviour Detection Methods for Surveillance Video
Author(s) -
Quange Tan,
Yali Zhang
Publication year - 2020
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 - 10.1088/1742-6596/1646/1/012008
Subject(s) - computer science , artificial intelligence , centroid , computer vision , convolutional neural network , object detection , key (lock) , frame (networking) , acceleration , pattern recognition (psychology) , computer security , telecommunications , physics , classical mechanics
This paper uses the centroid acceleration of the moving target and the aspect ratio operator of the outer frame of the moving target to identify the human moving target. It uses inter-frame difference method to detect stagnation, uses 3D convolutional neural networks to detect fall, and analyzes the experimental results. Abnormal behaviour detection can assist in case investigation, large-scale activities, and security in key areas, etc., and help ensure social harmony and stability.