Subway section passenger flow statistics and pedestrian retrograde motion detection method and system

A cross-sectional passenger flow and detection method technology, applied in the field of human flow and abnormal behavior detection, can solve the problems of inability to achieve real-time application, non-linear motion vector direction, poor practicability, etc., and achieve good pedestrian detection effect, Reduce the transformation of ID, the effect of good accuracy

Active Publication Date: 2020-10-30
CHINA ELECTRONIC TECH GRP CORP NO 38 RES INST
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Problems solved by technology

This method cannot be applied in real time because it needs the data of the front and rear frames of the video, and the motion vector direction of the continuous frames is nonlinear, so the practicability is not good.
However, by calculating the relative change in the Y coordinate of the pedestrian's centroid position and t

Method used

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  • Subway section passenger flow statistics and pedestrian retrograde motion detection method and system
  • Subway section passenger flow statistics and pedestrian retrograde motion detection method and system
  • Subway section passenger flow statistics and pedestrian retrograde motion detection method and system

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[0059] In order to make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be described clearly and completely in conjunction with the embodiments of the present invention. Obviously, the described embodiments are part of the present invention. Examples, not all examples. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative work shall fall within the protection scope of the present invention.

[0060] Such as figure 1 As shown, the method for subway section passenger flow statistics and pedestrian retrograde detection based on the multi-target tracking algorithm provided in this embodiment includes the following steps:

[0061] step 1):

[0062] By renaming the subway surveillance video, 30,000 images are collected, and then use LabelImg labeling software to label the video ...

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Abstract

The invention discloses a subway section passenger flow statistics and pedestrian retrograde motion detection method based on a multi-target tracking algorithm. According to the invention, an online multi-target tracking algorithm is applied to a subway monitoring scene, a subway monitoring video is used to make a sample set for training a detector, and a large-scale pedestrian re-identification data set is used to train an appearance feature extraction network. The performance of a tracking algorithm is improved by integrating motion information and appearance characteristics, each pedestriantarget in a scene is tracked through the algorithm, then passenger flow information is counted through logical judgment between the tracking target and a set trip line, and meanwhile, the retrogradebehavior of a traveler can also be detected.

Description

Technical field [0001] The invention relates to the technical field of pedestrian flow and abnormal behavior detection, in particular to a method and system for subway section passenger flow statistics and pedestrian retrograde detection based on a multi-target tracking algorithm. Background technique [0002] With the continuous advancement of my country's urbanization and continuous investment in the field of infrastructure construction, large cities in the first and second tiers have planned relatively complete rail transit networks. For the city, the subway not only greatly facilitates the daily commuting of the people, but also improves the comprehensive management level of the city. At the same time, as a typical crowded place, the subway also has many new safety issues, and its public safety governance also puts forward higher requirements for managers. Using video surveillance to control passenger flow and warn of dangerous events can not only ensure passenger safety, bu...

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Application Information

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IPC IPC(8): G06K9/00G06K9/32G06N3/04
CPCG06V40/10G06V20/46G06V20/53G06V10/25G06N3/045
Inventor 房思思卢安安甘彤商国军王崇海时亚丽马彪彪唐亮凌虎刘海涛张琦珺任好
Owner CHINA ELECTRONIC TECH GRP CORP NO 38 RES INST
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