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Abnormal behavior detection method, device, electronic equipment and storage medium

A detection method and behavioral technology, applied in the fields of deep learning, image recognition and video processing, can solve the problem of low correct rate of video images

Active Publication Date: 2021-01-29
成都睿沿科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the embodiments of the present application is to provide a method, device, electronic device, and storage medium for detecting abnormal behaviors, which are used to improve the problem of low accuracy in detecting abnormal behaviors of video images

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  • Abnormal behavior detection method, device, electronic equipment and storage medium
  • Abnormal behavior detection method, device, electronic equipment and storage medium
  • Abnormal behavior detection method, device, electronic equipment and storage medium

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Embodiment Construction

[0028]The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application.

[0029]Before introducing the abnormal behavior detection method provided by the embodiments of the present application, some concepts involved in the embodiments of the present application are first introduced:

[0030]Neural Network (NN), also known as Artificial Neural Network (ANN) or Neural Network-like, in the field of machine learning and cognitive science, is a kind of imitating biological neural network (for example: the central nervous system of animals) The system can be a mathematical model or a calculation model of the structure and function of the brain. An artificial neural network is used to estimate or approximate the function; the neural network here is calculated by a large number of artificial neurons.

[0031]A neural network model refers to a neural network model obtain...

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Abstract

The present application provides an abnormal behavior detection method, device, electronic equipment and storage medium. The method includes: obtaining a video to be predicted, which is a video collected for the behavior of a target object; using a neural network model to extract the video to be predicted and predict the first behavior features to obtain the initial prediction result; reverse the video to be predicted in reverse order according to time to obtain the reverse video, and use the neural network model to extract the second behavior in the reverse video feature; calculate the similarity value between the first behavioral feature and the second behavioral feature; determine the final prediction result of the video to be predicted according to the initial prediction result and the similarity value, and the final prediction result indicates whether the behavior of the target object is abnormal.

Description

Technical field[0001]This application relates to the technical fields of deep learning, image recognition, and video processing, and specifically, to an abnormal behavior detection method, device, electronic device, and storage medium.Background technique[0002]Abnormal behavior detection refers to the detection of whether the target object’s behavior is abnormal, for example: the elderly is lying or falling in the room; if it is a fall, then the behavior of the elderly is considered abnormal, and an early warning message can be issued at this time. Timely treatment; if lying down to sleep or resting, then the behavior of the elderly is considered to be non-abnormal and no warning is required.[0003]At present, most of the methods for detecting abnormal behaviors are based on static image information. However, the static image information contains similar static image fragments. For example, the behavior of the elderly in the room is falling or sleeping while lying down. It is very si...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/62G06N3/04
CPCG06V40/20G06V20/46G06V20/41G06N3/045G06F18/214
Inventor 赵巍罗振波吉翔
Owner 成都睿沿科技有限公司