Passenger abnormal behavior recognition method based on human skeleton sequence

Abstract

The invention discloses a passenger abnormal behavior identification method based on a human skeleton sequence, which comprises the following steps: 1) shooting an escalator area monitoring video image by a camera; 2) detecting that passenger face through the SVM and trac the passenger face with the KCF to obtain the passenger motion trajectory in the escalator; 3) extracting that human skeleton from the image by using the OpenPose depth learn network; 4) matching that human skeleton to the corresponding passenger trajectory to construct the human skeleton sequence of the passenger; 5) detecting that abnormal behavior skeleton sequence from the passenger human skeleton sequence through template match; 6) using DTW to match it with various abnormal behavior skeleton sequence template to identify abnormal behavior. That invention can accurately and real-time identify a plurality of abnormal behavior of passengers in the escalator base on human skeleton sequence, according to the abnormalbehavior type to control the operation situation of the escalator, and avoid the occurrence of safety accident.

Description

technical field [0001] The present invention relates to the technical field of image processing and behavior recognition, in particular to a method for recognizing abnormal behavior of passengers based on human skeleton sequences. Background technique [0002] With its low cost, accurate and stable characteristics, the intelligent video surveillance system has been paid more and more attention in the field of security protection in public places. Abnormal human behavior recognition is one of the important applications of intelligent video surveillance system. It detects and tracks moving targets through video sequences, analyzes target behavior, detects abnormal behavior fragments, and then identifies abnormal behavior categories. When passengers take the escalator, abnormal behaviors such as falling, climbing handrails, and probing hands will cause serious safety accidents. Therefore, it is of great significance to accurately and stably identify various abnormal behaviors a...

AI Technical Summary

Problems solved by technology

So far, there are few domestic researches on real-time passenger behavior recognition technology for escalator elevator application scenarios. In view of the fact that intelligent video monitoring system has great advantages in real-time and stability compared with manual monitoring, the research and development of corresponding technologies should be accelerated and promoted. Let advanced technology benefit the people

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