Method and device for intelligently monitoring and identifying surrounding environment of payee, and medium

Abstract

The invention discloses an intelligent monitoring and recognition method and device for the surrounding environment of a payee, and a medium. The method comprises the steps of video monitoring, targettracking, and interactive behavior detection and recognition. The target tracking comprises the following steps: when the video monitors that someone enters the periphery of the ATM, performing multi-target tracking by taking a human body in the monitoring video as a target by adopting Markov Monte Carlo to obtain a tracking video comprising a multi-target tracking track; the interactive behaviordetection comprises the steps of extracting features from a tracking video and constructing combined features to judge a face portrait and feature points thereof of a human body target through a convolutional neural network algorithm so as to judge whether a head posture and a sight angle are abnormal or not, and carrying out interactive behavior detection on the abnormal situation; the interactive behavior recognition is to further judge the type of the interactive behavior if the interactive behavior exists. According to the invention, people and objects in the withdrawal area can be monitored in real time, and the behaviors of people can be automatically detected and identified.

Description

technical field [0001] The invention belongs to the technical field of behavior recognition, and in particular relates to a method, device and medium for intelligent monitoring and recognition of a cashier's surrounding environment. Background technique [0002] With the popularization of payment methods such as Alipay and WeChat, small amounts are less and less carried out in bank ATMs, and only some transactions with large amounts are easy to use cash. And most of the people who use cash transactions are older people. Therefore, it is necessary to focus on the safety of withdrawals for this group of people. [0003] At present, the monitoring of the surrounding environment of the cash machine mainly relies on the camera installed on the ceiling and the pinhole camera on the ATM for real-time monitoring and video recording. It is manually interpreted during working hours, but the ATM is open 24 hours, so the video is recorded after get off work, and Save the whole day vide...

AI Technical Summary

Problems solved by technology

However, it is not possible to warn the cashier so as to avoid accidents at the first time. In most cases, it is even due to the loose staff and lack of background management.

[0004] The existing technology uses manual interpretation, but because the time spent staring at the background monitoring at work is very long, the length of video recording is often very large and the number of storage days is limited, the accuracy of interpretation depends entirely on the operator's visual recognition, which is difficult to guarantee, and the interpretation results have human subjectivity

At present, there is no intelligent video surveillance equipment for financial withdrawals in China

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