Video surveillance system for high-speed railway stations based on scene judgment to realize passenger transport management

Abstract

The invention relates to a high-speed railway station video monitoring system for realizing passenger transport management based on scene judgment, comprising a video monitoring camera group (1), a video processing platform (2) and a result display terminal (3); the video monitoring camera group (1) includes a block camera and an overhead camera; the video processing platform (2) includes an image preprocessing module (2.1), a portrait extraction module (2.2), a personnel density calculation module (2.3), a scene pattern recognition module (2.4) and an early warning module (2.5). The image preprocessing module (2.1) is used to preprocess the video image, the portrait extraction module (2.2) is used to extract the face area in the preprocessed video image, and the personnel density calculation module (2.3) is used to The face area is counted to calculate the density of people; the scene pattern recognition module (2.4) performs recognition and analysis of congested scenes in combination with overhead video images. The invention realizes the automatic monitoring of crowd congestion in high-speed railway stations, which is beneficial to the orderly management of passenger transport and ensures safety.

Description

technical field [0001] The invention belongs to the technical field of passenger transportation safety, and relates to a safety monitoring system, in particular to a high-speed rail station video monitoring system for realizing passenger transportation management based on scene judgment. Background technique [0002] With the rapid development of my country's high-speed rail technology and the continuous improvement of people's living standards, taking high-speed rail has become the preferred way for people to travel. As more and more people take the high-speed rail, it also brings a certain amount of pressure to the high-speed rail station, often resulting in the high-speed rail station's waiting room, ticket gate, entrance and exit, and other places where people are overcrowded, and it is easy to cause mass incidents such as stampedes. Thereby bringing great influence to people's life and property safety. [0003] In order to ensure the safety of personnel at high-speed r...

AI Technical Summary

Problems solved by technology

However, the existing monitoring method simply sends the video image back to the monitoring room, and the staff monitors the monitoring screen of the monitoring room.

Although this method reduces the number of security personnel to a certain extent, the entire judgment process is still manual and is still easily affected by human factors. The scene reflected in the surveillance screen depends on manual judgment; If you cannot pay attention to the monitoring screen at all times, or cannot make correct judgments in time for scenes such as excessive concentration of people and congestion, it is easy to cause missed judgments and misjudgments

The monitoring method of manual observation also lacks predictability in terms of time. It cannot reasonably summarize the changing rules of video surveillance scenes in the past period, so as to predict future trends, and cannot respond to or prevent security incidents efficiently and reliably.

Images