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Behavior prediction method and device, computer equipment and storage medium

A prediction method and behavior technology, applied in the computer field, can solve problems such as difficult behavior prediction, and achieve better intelligent effects, active prediction, and accurate prediction

Pending Publication Date: 2021-02-12
杭州城市大数据运营有限公司 +2
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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 invention is to provide a behavior prediction method, which aims to solve the problem in the prior art that it is difficult to realize behavior prediction through simple monitoring

Method used

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  • Behavior prediction method and device, computer equipment and storage medium
  • Behavior prediction method and device, computer equipment and storage medium
  • Behavior prediction method and device, computer equipment and storage medium

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Embodiment 1

[0037] Such as figure 1 As shown, in one embodiment, a behavior prediction method is proposed, and this embodiment is mainly described by taking the method applied to the above-mentioned terminal as an example. A behavior prediction method may specifically include the following steps:

[0038] Step S101, input several consecutive frames of video pictures into the preset cyclic neural network model; the preset cyclic neural network model is composed of several sequential neural network units, and several frames of video pictures correspond to the sequential neural network units one by one enter;

[0039] Step S102, respectively extracting picture features of corresponding input video pictures through each sequential neural network unit;

[0040] Step S103, input all picture features into one of the sequential neural network units, and the sequential neural network unit predicts the next action according to the picture features corresponding to all video pictures.

[0041] In...

Embodiment 2

[0063] In one embodiment, such as Figure 4 As shown, it is a structural block diagram of a cyclic neural network model provided in an embodiment of the present invention, and a behavior prediction device is provided, which includes a preset cyclic neural network model. The behavior prediction device can be integrated into a computer device or In the terminal, it is used to perform the following steps:

[0064] Input time-continuous frames of video pictures into the preset cyclic neural network model; the preset cyclic neural network model is composed of several sequential neural network units, and the video pictures and sequential neural network units are input in one-to-one correspondence;

[0065] Extracting picture features of corresponding input video pictures through each sequential neural network unit;

[0066] All picture features are input into one of the sequential neural network units, and the sequential neural network unit predicts the next action according to the...

Embodiment 3

[0089] In one embodiment, a computer device is proposed. The computer device includes a memory, a processor, and a computer program stored on the memory and operable on the processor. When the processor executes the computer program, the following steps are implemented:

[0090] Input time-continuous frames of video pictures into the preset cyclic neural network model; the preset cyclic neural network model is composed of several sequential neural network units, and the video pictures and sequential neural network units are input in one-to-one correspondence;

[0091] Extracting picture features of corresponding input video pictures through each sequential neural network unit;

[0092] All picture features are input into one of the sequential neural network units, and the sequential neural network unit predicts the next action according to the picture features corresponding to all video pictures.

[0093] Figure 5 An internal block diagram of a computer device in one embodim...

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Abstract

The invention belongs to the technical field of computers, and particularly relates to a behavior prediction method and device, computer equipment and a storage medium. The behavior prediction methodcomprises the following steps: inputting a plurality of frames of video pictures with continuous time into a preset recurrent neural network model, wherein the preset recurrent neural network model iscomposed of a plurality of time sequence neural network units; respectively extracting picture features of the correspondingly input video pictures through each time sequence neural network unit; andinputting all the picture features into one of the sequential neural network units, wherein the sequential neural network unit predicts the next action according to the picture features correspondingto all the video pictures. According to the behavior prediction method provided by the embodiment of the invention, the picture characteristics of the plurality of frames of video pictures are speculated and identified by using the memory characteristics of the recurrent neural network model, and the picture characteristics are processed immediately, so that the behavior can be predicted quickly,actively and accurately, and the intelligent effect is better.

Description

technical field [0001] The invention belongs to the field of computer technology, and in particular relates to a behavior prediction method, device, computer equipment and storage medium. Background technique [0002] In existing industrial or living scenarios, there are often scenarios for predicting the future environment. For example, the existing family early warning system can be embedded in a smart camera to monitor every move of the children in the family and then give a certain degree of alarm to the children before they may perform dangerous actions. However, most of the existing technologies require specialized personnel in front of the monitoring system to predict the behavior through the judgment of the staff, which cannot realize intelligent monitoring and behavior prediction, and it is difficult to predict the behavior of the monitoring environment in a timely and accurate manner. [0003] It can be seen that it is difficult to meet the requirements of moderni...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/46G06N3/04G06N3/08
CPCG06N3/049G06N3/08G06V40/20G06V20/40G06V10/40G06N3/045
Inventor 杨宇克李博潘玉武陈雨晴袁晓晓时士柱
Owner 杭州城市大数据运营有限公司
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