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A method for detecting ATM tailgating events based on spatio-temporal optical flow field

A technology of event detection and optical flow field, which is applied in the field of computer vision, can solve the problems of accuracy rate drop and achieve high accuracy rate and strong robustness

Active Publication Date: 2021-02-05
浙江捷汇鑫数字科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, the accuracy rate drops rapidly when the actual pedestrian size is too large, the pedestrian backpack, and the angle of view of the camera parameters are changeable.

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  • A method for detecting ATM tailgating events based on spatio-temporal optical flow field
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  • A method for detecting ATM tailgating events based on spatio-temporal optical flow field

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Embodiment Construction

[0021] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is only some embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0022] The following is attached figure 1 The present invention is described further.

[0023] Concrete steps of the present invention include:

[0024] Step 1. Mark the ATM scene shot vertically with lines, see figure 2 :

[0025] The area where the bottom of the protective cabin is located on the ground is regarded as a rectangular frame, a...

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Abstract

The invention discloses an ATM follow-up event detection method based on a space-time optical flow field. According to the method, a vertical camera of an ATM protection cabin is utilized, a space-time optical flow field is firstly obtained based on an inter-frame optical flow field, and then classification modeling is conducted on the space-time optical flow field when a single person normally withdraws money and follows through the deep learning technology. Compared with the prior art, the ATM follow-up detection method based on optical flow and deep learning provided by the invention has stronger robustness on camera parameters, shooting angles, pedestrian body types, pedestrian dressing and other factors, and is higher in people counting accuracy. Whether a person following problem exists or not can be detected in real time according to people counting.

Description

technical field [0001] The invention belongs to the technical field of computer vision, and relates to an ATM tailing event detection method based on a spatio-temporal optical flow field. Background technique [0002] At present, there are more and more ATM machine stalking crimes, which bring huge losses to bank customers and also cause bad social impact. Although all banks are equipped with real-time monitoring systems, most of them can only be used to obtain evidence after the event, and cannot provide real-time alarms for tailgating behaviors. The ATM personnel tailgating detection can be completed to a certain extent by counting the number of people in the ATM. Generally, when there are more than 2 people, it is considered that there is a tailgating situation. Therefore, some methods of counting people based on video surveillance have been researched, which can carry out real-time statistics and alarms on the number of people in the monitoring range. [0003] However,...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/32G06K9/62G07F19/00
Inventor 尚凌辉张兆生王弘玥刘伟杰
Owner 浙江捷汇鑫数字科技有限公司