Insect behavior recognition method and device based on space-time context

A technology of spatio-temporal context and recognition method, applied in the field of insect behavior recognition, can solve the problems of complex acquisition of training data and low accuracy of insect behavior recognition, and achieve the goal of improving accuracy, facilitating labeling and classification, lowering the threshold of use and collecting training data effect of difficulty

Active Publication Date: 2020-07-31
YANGTZE UNIVERSITY
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to overcome the above-mentioned technical deficiencies, provide an insect behavior recognition method, device and computer storage

Method used

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  • Insect behavior recognition method and device based on space-time context
  • Insect behavior recognition method and device based on space-time context
  • Insect behavior recognition method and device based on space-time context

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Experimental program
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Embodiment 1

[0022] like figure 1 As shown, Embodiment 1 of the present invention provides an insect behavior recognition method based on spatio-temporal context, comprising the following steps:

[0023] S1. Acquire the insect behavior video, and obtain the manually-labeled original image in the insect behavior video;

[0024] S2. Extracting the area where the target insect is located from the original image to obtain an insect image, and converting the original image into a grayscale image;

[0025] S3. Generate a spatial image from the insect image through a time window, and generate a time image from the grayscale image through a time window;

[0026] S4. Generate a feature image according to the spatial image and the time image, mark the insect behavior in the feature image, and classify it according to the behavior;

[0027] S5. Using the classified feature images as training samples to train the neural network to obtain an insect behavior recognition model;

[0028] S6. Using the ...

Embodiment 2

[0094] Embodiment 2 of the present invention provides an insect behavior recognition device based on spatio-temporal context, including a processor and a memory, and a computer program is stored on the memory, and when the computer program is executed by the processor, the method provided by Embodiment 1 is realized. Insect behavior recognition method based on spatio-temporal context.

[0095] The insect behavior recognition device based on the spatiotemporal context provided by the embodiment of the present invention is used to realize the method. Therefore, the technical effect of the insect behavior recognition method based on the spatiotemporal context is also possessed by the insect behavior recognition device based on the spatiotemporal context. Let me repeat.

Embodiment 3

[0097] Embodiment 3 of the present invention provides a computer storage medium, on which a computer program is stored. When the computer program is executed by a processor, the insect behavior recognition method based on spatio-temporal context provided in Embodiment 1 is implemented.

[0098] The computer storage medium provided by the embodiment of the present invention is used to implement the insect behavior recognition method based on the spatiotemporal context. Therefore, the technical effects of the insect behavior recognition method based on the spatiotemporal context are also possessed by the computer storage medium, and will not be repeated here.

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Abstract

The invention relates to the technical field of insect behavior recognition, and discloses an insect behavior recognition method and device based on space-time context, and a computer storage medium,and the method comprises the following steps: obtaining an insect behavior video, and obtaining an original image after manual marking in the insect behavior video; extracting an area where a target insect is located from the original image to obtain an insect image, and converting the original image into a grayscale image; generating a space image from the insect image through a time window, andgenerating a time image from the grayscale image through the time window; generating a feature image according to the space image and the time image, labeling insect behaviors in the feature image, and classifying the insect behaviors according to the behaviors; training a neural network by taking the classified feature images as training samples to obtain an insect behavior recognition model; andrecognizing insect behaviors in a to-be-detected video through the insect behavior recognition model. The method has the technical effects of high insect behavior recognition accuracy and simple training data acquisition.

Description

technical field [0001] The present invention relates to the technical field of insect behavior recognition, in particular to a spatio-temporal context-based insect behavior recognition method, device and computer storage medium. Background technique [0002] With the rapid development of computer vision technology in recent years, it has become an inevitable trend to use computers to process and analyze video data in various industries to reduce manual labor. However, in the field of agricultural insect behavior analysis, we know that most researchers are still using manual observation and statistical methods, which are not only inefficient, but also cause statistical errors caused by the increase in personnel fatigue in the case of long-term observation. Gradually increase. Therefore, it is of great practical significance to develop a technology that can quickly and accurately identify the current behavior of insects, allowing researchers to devote more time and energy to ...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06N3/04G06N3/08
CPCG06N3/08G06V40/20G06V20/41G06N3/045
Inventor 詹炜张智亮邹亚峰
Owner YANGTZE UNIVERSITY
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