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Body fall detection method

A detection method and human body technology, applied in the field of image applications, can solve the problem of low accuracy of fall detection

Active Publication Date: 2017-03-15
SHANGHAI UNIVERSITY OF ELECTRIC POWER
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Problems solved by technology

[0005] The invention aims at the problem of low fall detection accuracy based on video image analysis, and proposes a human body fall detection method, which uses a camera as a medium to collect image data, and uses image processing technology to analyze and judge whether the human body has fallen

Method used

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Embodiment Construction

[0061] The present invention mainly uses human body feature analysis and D-S information fusion, and uses the circumscribed rectangle and vertically circumscribed rectangle of the minimum area of ​​the human body to mark the detected human target, and analyzes the rectangle aspect ratio of the human target area, the height ratio of the human body center of mass and the inclination of the human body trunk The character of the corner changes. According to the judgment sensitivity of each feature to different states of the human body, a human fall detection method based on the improved D-S evidence theory is proposed. The scheme has good environmental adaptability and high fall detection accuracy.

[0062] Such as figure 1 As shown, the specific steps of the human fall detection method are as follows:

[0063] Step 1: Use the camera as the medium to collect image data, such as figure 2 The frame image shown in the video is extracted, and the collected image is processed. Firs...

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Abstract

The present invention relates to a body fall detection method. A camera is taken as a medium for collecting image data, the collected image is processed, a background area is distinguished to obtain a body target; the body target is limited trough a minimal area enclosing rectangle on this basis, and the minimal area enclosing rectangle s configured to calculate three body features consisting of the rectangle aspect ratio, the body mass center height ratio and the body trunk slant angle; and a generalized triangle fuzzy function is employed to construct body features BPA, and an improved D-S evidence theory is employed to fuse the body features BPA to obtain a final detection result. Compared to the detection scheme taking a sensor as an information medium in the prior art, the fall detection scheme can solve the problem that the accuracy fall detection depending on the image processing is low and reduce the detection cost. The fall detection scheme can be generalized to the places with dense old man groups such as geriatric hospitals and old people's homes, and has high real application values.

Description

technical field [0001] The invention relates to an image application technology, in particular to a human body fall detection method. Background technique [0002] In 2015, China's total population exceeded 1.36 billion, and the 60-year-old population was 210 million, accounting for 15.5% of the total population. my country has entered an aging society. According to relevant data analysis, falls are one of the important factors leading to disability or even death in the elderly. Timely detection of the fall of the elderly can not only reduce medical expenses, but also enable the elderly to receive timely assistance. [0003] At present, there are mainly two types of methods for human fall detection at home and abroad: (1) based on human body wearable devices; (2) based on video image analysis. Fall detection based on human body wearable devices mainly uses sensors as the medium to collect data. Common sensors include acceleration sensors, gyroscopes, pressure sensors, etc...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
CPCG06V40/23
Inventor 夏飞孙朋张浩彭道刚罗志疆马茜袁博王立力王志成
Owner SHANGHAI UNIVERSITY OF ELECTRIC POWER
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