Infant quilt kicking behavior recognition method and device, computer equipment and storage medium

Abstract

The invention relates to an infant quilt kicking behavior recognition method and device, computer equipment and a storage medium, and the method comprises the following steps: obtaining a real-time image of an infant so as to obtain a to-be-recognized image; recognizing the to-be-recognized image by adopting a deep learning recognition model to obtain a recognition result; outputting the recognition result to the terminal to prompt the terminal, wherein the deep learning recognition model is obtained by training a deep learning convolutional neural network by taking a plurality of infant quiltkicking behavior images and infant non-quilt-kicking behavior images as a sample set. According to the invention, the deep learning recognition model adopts a three-layer network for obtaining a candidate box of the whole body area of the baby; the classification network divides the candidate box into a plurality of local areas and maps the local areas to the score feature map to obtain a relatedfeature map, and the probability of each category is calculated according to the related feature map; the deep learning recognition model is adopted to recognize the images to obtain the categories,the accuracy of the whole infant quilt kicking behavior recognition process is improved, and the recognition complexity is reduced.

Description

technical field [0001] The present invention relates to the field of computer technology, and more specifically refers to a method, a device, a computer device and a storage medium for recognizing a baby kicking a quilt. Background technique [0002] Kicking the quilt is a very common phenomenon for babies. In most cases, the kicking is caused by problems such as the baby turning over. However, if the weather is cold, kicking the quilt may easily cause the baby to catch a cold. Sometimes the act of kicking the quilt will cause the quilt to be covered. Hold the baby's nose and the most explosive, resulting in poor breathing, and even endanger the baby's life. Although hardware recognition devices for infant kicking behavior have appeared on the market, most of them are intrusive installations, which affect the baby's sleep quality. Devices that use image processing technology to recognize kicking behavior are also susceptible to factors such as lighting and lack of recognitio...

AI Technical Summary

Problems solved by technology

[0002] Kicking the quilt is a very common phenomenon for babies. In most cases, the kicking is caused by problems such as the baby turning over. However, if the weather is cold, kicking the quilt may easily cause the baby to catch a cold. Sometimes the act of kicking the quilt will cause the quilt to be covered. Hold the baby's nose and the most explosive, resulting in poor breathing, and even endanger the baby's life

Although hardware recognition devices for infant kicking behaviors have appeared on the market, most of them are intrusive installations, which affect the baby's sleep quality. Devices that use image processing technology to identify kicking behaviors are also susceptible to factors such as lighting and lack of recognition models.

[0003] During sleep, babies kicking the quilt is not easy to be detected, and there is a lack of non-contact identification means that can directly identify the baby's kicking behavior during sleep without affecting the baby's sleep. At present, the equipment and methods for recognizing the baby's kicking behavior are mainly Divided into two categories: one is the contact hardware sensor recognition method, which often affects the baby's sleep quality, and it is not easy to recognize all kicking behaviors; the other is the non-contact recognition method based on image processing

However, it is difficult to guarantee the accuracy and validity of the recognition results only by simply processing the grayscale threshold information of the image, and it is generally limited to the baby's legs to recognize the behavior of kicking the quilt, and the recognition accuracy is low

Images