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Tumble detection method based on human body posture estimation

A technology of human posture and detection method, which is applied in computing, computer components, instruments, etc., can solve the problems of complex computing and high cost, and achieve the effect of simplifying procedures and reducing costs

Pending Publication Date: 2020-08-25
JINAN INSPUR HIGH TECH TECH DEV CO LTD
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AI Technical Summary

Problems solved by technology

At present, human body posture estimation is initially applied in this field to solve the problem of pedestrian fall detection in intelligent monitoring, but the calculation is more complicated and the cost is higher

Method used

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  • Tumble detection method based on human body posture estimation

Examples

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Embodiment 2

[0064] A fall detection method based on human pose estimation, which uses an open source pose estimation detection algorithm to estimate the pose of the person appearing in the camera,

[0065] Then further find seven coordinates of the marked person's chest, double crotch, two knee joints and two ankle joints from the results of the detection algorithm;

[0066] The torso and legs of a person are represented by the connection line between the corresponding body part point and the joint coordinate point;

[0067] By analyzing the slope information of the torso and legs in the graph, it is determined whether the human body has fallen.

[0068] Research has found that when a person falls, the slope of the connecting line between the lower leg and the upper body trunk will change sharply. It can be seen that the rate of change of the slope will also affect the judgment. Therefore, on the basis of the scheme described in Example 1, according to Calculate the slope in real time, f...

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Abstract

The invention discloses a tumble detection method based on human body posture estimation. The method belongs to the technical field of artificial intelligence, and comprises the following steps: estimating the posture of a person appearing in a camera by using an open-source posture estimation detection algorithm, and then further finding out coordinates of seven parts of a chest, two hips, two knee joints and two ankle joints of a marked person from the result of the detection algorithm; representing the trunk and legs of a person by using connecting lines of the corresponding body part points and the joint coordinate points; judging whether the human body falls down or not by analyzing slope information of the trunk and the legs in the figure. The method can be applied to a public scene,and can timely and effectively discover accidental tumbling, tumbling and other conditions through the monitoring camera.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence, in particular to a fall detection method based on human body posture estimation. Background technique [0002] Human pose estimation is a relatively basic problem in computer vision. From the understanding of the name, the human body pose estimation technology is an unknown estimation of key parts of the human body, such as the head, left hand, and right foot. Common human pose estimation can be subdivided into four tasks: [0003] Single-Person Skeleton Estimation [0004] Multi-Person Pose Estimation [0005] Human body posture tracking (Video Pose Tracking) [0006] 3D Human Pose Estimation (3D Skeleton Estimation) [0007] In the field of intelligent video surveillance technology, it will involve the detection of pedestrians falling. In the monitoring scene, timely detection of pedestrians' falls and reminding relevant staff to deal with them can effectively reduce the co...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
CPCG06V40/23
Inventor 安程治李锐金长新
Owner JINAN INSPUR HIGH TECH TECH DEV CO LTD
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