Old people tumbling detecting method based on multi-feature analyzing and scene studying

A detection method and multi-feature technology, applied in the field of image recognition, can solve problems such as error, not being a certain value, and unable to rule out the situation that the elderly lie down or sit down, etc.

Active Publication Date: 2014-07-02
NORTHWESTERN POLYTECHNICAL UNIV
View PDF4 Cites 36 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Wherein the method about fall detection is to judge whether to fall according to the height-to-width ratio of the human body in each posture. The value of the width ratio is not a certain value. It is related to the height, fat and thin of the elderly, and the threshold should be set according to the actual situation.
The disadvantage of this invention is that the center of mass of the obtained image does not necessarily coincide with the center of gravity of the human body, and judgment based on the center of mass of the image will inevitably bring errors
Another defect of this invention is that it is impossible to rule out the situation that the elderly lie down or sit down in some household scenes. Although the center of gravity has moved down at this time, the elderly did not fall

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Old people tumbling detecting method based on multi-feature analyzing and scene studying
  • Old people tumbling detecting method based on multi-feature analyzing and scene studying
  • Old people tumbling detecting method based on multi-feature analyzing and scene studying

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0036] Now in conjunction with embodiment, accompanying drawing, the present invention will be further described:

[0037] Step 1: Collect image data through the camera, and use background subtraction to obtain the moving target: the pixel value C of the point whose coordinates are (x, y) in the kth frame of the current image k (x,y) and the pixel value B of the corresponding point in the background image k (x, y) are subtracted to get the difference image D k (x,y), the difference image D k (x, y) is compared with the set threshold T, the value range of the threshold T is [40,100], the threshold T is 60 in the embodiment, and the binarized image R is obtained k (x,y):

[0038] D. k (x,y)=C k (x,y)-B k (x,y),(x=0,...,width-1,y=0,...height-1)

[0039] R k ( x , y ) = 0 Backgrou...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention relates to an old people tumbling detecting method based on multi-feature analyzing and scene studying. The method is corrected by adding three judgment conditions including the human body posture changes, the human body center position and the effective area ratio. The scene is studied in real time, the rest area is distinguished, and therefore tumbling events under different monitoring scenes can be detected. According to the algorithm, corresponding solutions are provided for some misjudgment situations in the existing tumbling detecting algorithm. The method is low in complexity, small in calculated amount and high in detecting ratio.

Description

technical field [0001] The invention relates to image recognition, in particular to a fall detection method for an elderly living alone, especially for the situation that the elderly cannot save themselves within a short time after falling. Background technique [0002] In recent years, smart home services for the elderly living alone have become a hot research field. According to the survey, among all the dangerous incidents that happen to the elderly living alone, the harm caused by falls is the greatest, which may cause the faller to lose consciousness, cause disability or even death. Therefore, it is very necessary to detect the possible falling behavior in time and report to the family members so that the elderly can be rescued. [0003] China Invention Patent No. 201110267262.0 invented a safety monitoring system for the elderly living alone based on omnidirectional vision. Wherein the method about fall detection is to judge whether to fall according to the height-to...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/20
Inventor 高田段芳芳李波闫中江周虎
Owner NORTHWESTERN POLYTECHNICAL UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap