Leaf shielding detection method based on deep learning and traditional algorithm

A detection method and deep learning technology, applied in the field of image processing, can solve problems such as public security impact and missing monitoring scenes, and achieve the effect of reducing the impact of public security, preventing missing, and strong generalization ability

Active Publication Date: 2019-11-01
ANHUI SUN CREATE ELECTRONICS
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

If the surveillance camera blocked by the leaves cannot be detected, the surveillance scene will be missing, which will affect public safety

Method used

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  • Leaf shielding detection method based on deep learning and traditional algorithm
  • Leaf shielding detection method based on deep learning and traditional algorithm
  • Leaf shielding detection method based on deep learning and traditional algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0037] A method for detecting leaf occlusion based on deep learning and traditional algorithms, comprising the following steps:

[0038] S1, adjust the size of each test set image and each training set image collected so that all images have the same size, and the size of all images in this embodiment is 64*64; for each test set image and each The training set images are rotated to the left and right, and each test set image and each training set image can derive two images, which increases the sample size; adjust the contrast of each test set image and each training set image, Make the same image have multiple contrasts, increase the sample size, and adjust the brightness of each test set image and each training set image to increase the sample size of the test set image and training set image.

[0039] Specific steps are as follows:

[0040] S10, adjusting the size of each collected image so that all the collected images have the same size, and the resized image is set as t...

Embodiment 2

[0056] On the basis of embodiment 1, table 1 is the test set image, sample number unit: Zhang

[0057] Table 1

[0058]

[0059] In Table 1: the image without leaf occlusion is an image without leaf occlusion including urban and rural multi-scenes;

[0060] Detection rate = the number of images detected to be occluded by leaves / the number of images actually occluded by leaves

[0061] Accuracy rate = the number of images detected to be occluded by leaves and actually occluded by leaves / the number of images detected to be occluded by leaves.

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Abstract

The invention relates to the technical field of image processing, and in particular to a leaf shielding detection method based on deep learning and a traditional algorithm. The method comprises: inputting the training set into a convolutional neural network model, training the convolutional neural network model until a loss function of the convolutional neural network model meets a set condition,and terminating the training of the convolutional neural network model, the trained convolutional neural network model being an optimal classification model; and judging whether the test set image isan image without leaf occlusion or not by adopting a traditional algorithm, and if the traditional algorithm detects that the image is an image with leaf occlusion, performing further detection on theimage by adopting a deep learning algorithm. Whether the monitoring camera is shielded by leaves or not can be detected, a worker can conveniently know the condition that the monitoring camera is shielded by the leaves in time so as to adjust the position of the monitoring camera, missing of a monitoring scene is prevented, and the influence on public safety is reduced.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a method for detecting leaf occlusion based on deep learning and traditional algorithms. Background technique [0002] With the rapid growth of video surveillance business, its existing problems are gradually exposed. How to find the fault of the front-end surveillance camera in the first time and improve the operation and maintenance efficiency of the video surveillance system is an indispensable part of the development of the video surveillance system. [0003] Leaf occlusion in surveillance camera faults is one of the most common faults. Since the position of the surveillance camera remains unchanged, the trees near it will continue to grow over time. In a specific season or time, the originally normally installed surveillance camera will be blocked by leaves. . If the surveillance camera blocked by the leaves cannot be detected, the surveillance scene will be missin...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62G06N3/04G06N3/08G06Q50/26
CPCG06N3/08G06Q50/26G06V20/10G06N3/045G06F18/241G06F18/214
Inventor 唐艳艳王一灵徐金凤李贤军薛家彬刘升谢永亮王梦园吉江燕范联伟余保华
Owner ANHUI SUN CREATE ELECTRONICS
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