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Fall detection method based on video

A detection method and video technology, applied in the field of image recognition, can solve the problems of high data processing resource requirements and high cost

Inactive Publication Date: 2017-09-29
SHENZHEN GRADUATE SCHOOL TSINGHUA UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the price of Kinect is more than four times that of a webcam, and the resource requirements for data processing are relatively high. For the low probability of falling, the cost is too high

Method used

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  • Fall detection method based on video
  • Fall detection method based on video
  • Fall detection method based on video

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Embodiment Construction

[0056] Embodiments of the present invention will be described in detail below. It should be emphasized that the following description is only exemplary and not intended to limit the scope of the invention and its application.

[0057] refer to figure 1 , in one embodiment, the video-based fall detection method includes: human body detection, joint point extraction based on a cascaded regression network, and joint point-based fall detection.

[0058] Human body detection is to identify and locate the human body area in the video image, so as to facilitate the subsequent joint point positioning. In the embodiment of the present invention, a Gaussian background modeling method with high sensitivity, good robustness, and small amount of calculation is selected to model the static background, extract the moving foreground area, and identify the area through a convolutional neural network , to determine whether it is a human body.

[0059] In the joint point extraction based on t...

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Abstract

The invention relates to a fall detection method based on a video. The method comprises steps that S1, video images are processed, and human body areas of the images are identified and positioned; S2, articulation point extraction based on the cascade regression network is carried out for the human body areas to acquire a set of human body articulation points, the first stage network is cascaded back with multiple regression networks having identical structures so as to precisely adjusting coordinate positions of the human body articulation points; and S3, a motion vector of each human body articulation point is taken as a human body motion characteristic, through analyzing articulation point change, whether a human body falls is dynamically analyzed. The method is advantaged in that whether the elderly people living alone falls can be accurately and conveniently determined through video image analysis.

Description

technical field [0001] The invention relates to image recognition, in particular to a video-based fall detection method. Background technique [0002] With the rapid development of economy, the increasing progress of science and technology, the application of advanced medical technology, the improvement of public health level and the extension of average life expectancy. On the other hand, the increase in childcare costs, the accelerated pace of production and life, and the increased pressure of life have resulted in a continuous decline in the fertility rate, which has led to an increasingly serious problem of aging in my country. [0003] Falls have become one of the most common and serious safety problems in the lives of the elderly. The rate of falls indoors is much higher than that of outdoors. According to the report of the World Health Organization, more than 300,000 people die from falls every year in the world, and half of them are elderly people over 60 years old. ...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06N3/04G06N3/08
CPCG06N3/08G06V40/23G06V20/44G06V20/41G06N3/045
Inventor 袁克虹仪永建申代友
Owner SHENZHEN GRADUATE SCHOOL TSINGHUA UNIV
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