Pedestrian falling recognition method based on skeleton detection

A recognition method and pedestrian technology, applied in character and pattern recognition, instruments, computer components, etc., can solve problems such as high cost, uncomfortable wearing, low recognition rate, etc., and achieve the effect of life safety guarantee

Active Publication Date: 2019-06-21
INST OF INTELLIGENT MFG GUANGDONG ACAD OF SCI
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AI Technical Summary

Problems solved by technology

The fall detection technology based on wearable sensors has high accuracy, but the cost is too high and it is uncomfortable to wear
The video-based fall detection technology uses the mot...

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  • Pedestrian falling recognition method based on skeleton detection
  • Pedestrian falling recognition method based on skeleton detection
  • Pedestrian falling recognition method based on skeleton detection

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Embodiment Construction

[0048] In order to further understand the features, technical means and specific objectives and functions achieved by the present invention, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0049] as attached Figure 1-5 As shown, the present invention discloses a pedestrian fall recognition method based on skeleton detection, comprising the following steps:

[0050] S1, using a camera to acquire images of the monitoring area. There is no specific limitation on the type of camera used, as long as it meets the camera function, a camera with higher pixels is preferred.

[0051] S2. Segment the image to obtain an image of the human body region of the pedestrian, and detect the distribution information of the pedestrian skeleton feature points.

[0052] S3, analyzing the distribution information of pedestrian skeleton feature points, extracting the joint point coordinates of the key parts of...

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Abstract

The invention discloses a pedestrian falling recognition method based on skeleton detection. The method comprises the following steps: S1, acquiring a monitoring area image by using a camera; S2, segmenting the image to obtain a pedestrian body area image, and detecting to obtain pedestrian skeleton feature point distribution information; S3, analyzing pedestrian skeleton feature point distribution information, extracting articulation point coordinates of key parts of the human body of the pedestrian, acquiring pedestrian human body articulation point space position features and pedestrian posture geometrical quantities according to the articulation point coordinates, and the key parts are preset parts on the human body; S4, establishing a tumble detection model according to the spatial position characteristics of the joint points of the human body of the pedestrian and the pedestrian posture geometric quantity; and S5, judging the posture of the pedestrian by using the fall detectionmodel wherein the posture of the pedestrian comprises normal walking and fall, and the detection and recognition of the posture of the pedestrian are realized according to the judgment result. The method can actively detect abnormal conditions such as pedestrian falling in a monitoring video, and can improve the monitoring capability of pedestrian safety events by combining with an early warning system.

Description

technical field [0001] The invention relates to the field of machine vision, in particular to a pedestrian fall recognition method based on skeleton detection through multi-feature comprehensive judgment. Background technique [0002] In recent years, the problem of population aging in my country has become increasingly serious. The number of elderly people is increasing year by year, and falls have always been one of the major problems that plague the elderly. The incidence of falls in the elderly is high, and the problem is often serious. This has become a serious medical and social problem in today's era. Through scientific and effective methods to detect the fall of the elderly, monitor the video to locate the location of the fall so as to reduce the time for the elderly to receive treatment. Use the characteristics of falling behavior to distinguish it from common behaviors in life. However, the current research on the fall behavior of the elderly cannot give an accu...

Claims

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Application Information

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IPC IPC(8): G06K9/00
Inventor 程韬波马敬奇卢杏坚朱铭雷欢陈再励
Owner INST OF INTELLIGENT MFG GUANGDONG ACAD OF SCI
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