Fall detection method based on video

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. ...

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