Monitoring method and device for judging abnormal behavior based on deep learning, computer equipment and storage medium

A deep learning and behavioral technology, applied in the field of Internet applications, can solve the problems of missed detection and high error rate, and achieve the effect of low judgment standard deviation, fast operation speed, and good user behavior judgment

Pending Publication Date: 2022-01-28
TERMINUSBEIJING TECH CO LTD
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  • Description
  • Claims
  • Application Information

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Problems solved by technology

Therefore, normal behavior may be misdetected as abnormal behavior, and abnormal behavior may be missed as normal behavior, resulting in a high error rate for abnormal behavior detection

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  • Monitoring method and device for judging abnormal behavior based on deep learning, computer equipment and storage medium
  • Monitoring method and device for judging abnormal behavior based on deep learning, computer equipment and storage medium
  • Monitoring method and device for judging abnormal behavior based on deep learning, computer equipment and storage medium

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Embodiment Construction

[0040] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0041] It can be understood that the terms "first", "second" and the like used in the present application may be used to describe various elements herein, but unless otherwise specified, these elements are not limited by these terms. These terms are only used to distinguish one element from another element. For example, a first xx script could be termed a second xx script, and, similarly, a second xx script could be termed a first xx script, without departing from the scope of the present application.

[0042] Such as figure 1 as shown, figure 1 It is a schematic diagram of the terminal structur...

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Abstract

The invention relates to a monitoring method and device for judging an abnormal behavior based on deep learning, computer equipment and a storage medium, and the method comprises the steps: obtaining to-be-detected video data of a target user from a first terminal, wherein the to-be-detected video data at least comprises two image frames, wherein the image frame is an image related to the action of the target user within a preset time period before the judgment time point; extracting feature data from the key sub-region image; and inputting the feature data into a judgment model, generating feature data of a plurality of different time scales according to the feature data, and obtaining a behavior category of the target user according to the feature data of the plurality of different time scales, the behavior category including a normal behavior and at least one abnormal behavior. The method is higher in operation speed, higher in accuracy, better in robustness, lower in judgment standard deviation and capable of better achieving user behavior judgment.

Description

technical field [0001] The present invention relates to the field of Internet application technology, in particular to a monitoring method, device, computer equipment and storage medium for judging abnormal behavior based on deep learning. Background technique [0002] Abnormal user behavior often refers to "abnormal" behavior that violates social civilization norms or group behavior habits and standards. Especially with the improvement of people's awareness of public security and network security, people pay more and more attention to abnormal behavior detection in crowd scenes, networks and other environments. [0003] At present, the detection of abnormal behavior of users usually performs matching detection based on the characteristics of individual abnormal behaviors, or performs comparative detection based on the characteristics of individual normal behaviors. But since the same behavior may be abnormal in some cases and normal in others. Therefore, normal behaviors ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06V10/764G06V10/774G06V10/82G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06N3/045G06F18/214G06F18/2415
Inventor 杨钰
Owner TERMINUSBEIJING TECH CO LTD
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