Abnormal behavior identification method and device

Abstract

The invention relates to the technical field of computers. The invention particularly relates to an abnormal behavior identification method and device. The method is used for timely and effectively identifying abnormal behaviors. The method comprises the following steps of: obtaining a face image of a target person at the target location, based on a face recognition result and consulting information triggered by a target person, generating corresponding user description information; then, extracting the historical data from the pre-stored historical data; screening out reference user description information meeting a similarity condition, then determining the number of different historical target locations corresponding to each piece of obtained reference user description information and the respective generation time of each piece of reference user description information, determining that the target person has an abnormal behavior when the corresponding condition is met, and giving an alarm. Thus, when the target person appears at the target place, whether the target person has an abnormal behavior can be quickly and accurately identified according to the historical data, and thus an alarm is given in time.

Description

technical field [0001] The present disclosure relates to the field of computer technology, in particular to a method and device for identifying abnormal behavior. Background technique [0002] In the offline retail business, there are usually phenomena such as scalpers maliciously driving up commodity prices, scalpers maliciously lowering commodity prices, and thieves stealing property. Obviously, the occurrence of these phenomena will disrupt the market economy, cause a devastating blow to the industry, and lead to social disorder. However, at present, corresponding remedial measures can only be taken after the phenomenon occurs, and it is impossible to timely and effectively identify abnormal behaviors such as driving up commodity prices, depressing commodity prices, and theft. [0003] It can be seen that a new solution needs to be designed to overcome the above-mentioned defects. Contents of the invention [0004] The present disclosure provides a method and device fo...

AI Technical Summary

Problems solved by technology

[0002] In the offline retail business, there are usually phenomena such as scalpers maliciously driving up commodity prices, scalpers maliciously lowering commodity prices, and thieves stealing property. Obviously, the occurrence of these phenomena will disrupt the market economy, cause a devastating blow to the industry, and lead to social disorder.

However, at present, it is usually only possible to take corresponding remedial measures after the phenomenon occurs, and it is impossible to timely and effectively identify abnormal behaviors such as driving up commodity prices, depressing commodity prices, and theft

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