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Target detection method, system and device based on classroom scene and storage medium

A target detection and scene technology, applied in the computer field, can solve problems such as ineffective combination and rise, and achieve the effect of improving accuracy

Pending Publication Date: 2019-10-25
GUANGZHOU HISON COMP TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, most of the object detection methods based on region proposals have improved one aspect of them, an

Method used

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  • Target detection method, system and device based on classroom scene and storage medium
  • Target detection method, system and device based on classroom scene and storage medium
  • Target detection method, system and device based on classroom scene and storage medium

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Embodiment Construction

[0054] The specific embodiment of the present invention will be further described below in conjunction with accompanying drawing:

[0055] refer to figure 1 , the embodiment of the present invention provides a kind of target detection method based on classroom scene, comprises the following steps:

[0056] S1. Obtain an image to be detected;

[0057] S2. Perform feature extraction on the image to be detected through the convolution layer to obtain target feature information;

[0058] In this embodiment, a series of convolution operations are used to extract the feature information in the image. Usually, the convolution layer includes a convolution kernel of 3*3, 1*3, 1*1 or 7*7, which is used for different network structures. The size and number of convolution kernels are also different. In this embodiment, the ResNet-101 network is used for feature extraction. The convolutional layer in this embodiment is as image 3 As shown, it mainly includes three parts: the bottom-u...

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Abstract

The invention discloses a target detection method, a system and a device based on a classroom scene, and a storage medium. The method comprises the steps: obtaining a to-be-detected image; performingfeature extraction on the to-be-detected image through the convolution layer to obtain target feature information; and inputting the target feature information into a prediction module for predictionto obtain a final classification score and a final bounding box. According to the method, prediction is carried out through a plurality of cascaded prediction networks, so that the accuracy of targetdetection can be effectively improved through a multi-threshold prediction structure. The method can be widely applied to the field of target detection.

Description

technical field [0001] The present invention relates to the field of computer technology, and in particular to a target detection method, system, device and storage medium based on a classroom scene. Background technique [0002] In recent years, with the rise of the concept of deep learning, technology in the field of computer vision has flourished. Although there are many algorithms for researching target detection, they can be roughly divided into two mainstreams: one is based on region proposal algorithms, such as RCNN series (RCNN, Fast RCNN and Faster RCNN, etc.); the other is no region proposal algorithm. (YOLO, SSD and DSOD, etc.). The main idea of ​​the non-regional proposal method is to uniformly perform dense sampling at different positions of the picture. Different scales and aspect ratios can be used for sampling, and then the convolutional network is used to extract features and then directly perform classification and regression. The whole process only needs ...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/46G06N3/04
CPCG06V20/52G06V10/44G06V2201/07G06N3/044G06N3/045
Inventor 葛海玉杨琳郝禄国曾文彬陈景明李燊
Owner GUANGZHOU HISON COMP TECH