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Fall-down motion detection method of old-age care robot platform

A motion detection and robotics technology, applied in instruments, computer parts, character and pattern recognition, etc., can solve the problem of low detection accuracy and achieve the effect of good fall motion detection results

Active Publication Date: 2017-07-14
SHENYANG AEROSPACE UNIVERSITY
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AI Technical Summary

Problems solved by technology

Obviously, this forced assumption is quite different from the real situation, and the detection accuracy is low

Method used

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  • Fall-down motion detection method of old-age care robot platform
  • Fall-down motion detection method of old-age care robot platform

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Experimental program
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specific Embodiment approach

[0037] Step 1. Collect some positive image windows and negative image windows for model training.

[0038] (1) Set up four cameras on the four walls of a room about 4 meters square, and each camera is about 1.2 meters above the ground. The camera captured 10 people's falls and other actions (such as walking, dancing, etc.) from 4 different angles, and each video contained one person's actions.

[0039] (2) The window {s of 9 scales is defined i =(w i ,h i )} i＝1:9 , where w i Indicates the width of the window, h i Indicates the height of the window. For a video containing a fall action, mark whether there is a fall action and the location where the fall action occurs in each frame of the image, and select the most suitable one from the 9 scale windows to frame the person who has the fall action, Record the position of the upper left corner and the lower right corner of the rectangular window.

[0040] (3) Collect approximately 300-1000 positive image windows at each sc...

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Abstract

The invention relates to motion identification, belongs to the technical field of image identification and human-computer interaction, and particularly relates to a fall-down motion detection method of an old-age care robot platform. According to the method, the boundary including the target human body does not need to be extracted by using a human body detection or tracking algorithm in advance, and the fall-down motion, the number of the fall-down motion and the position of the fall-down motion can be directly detected from videos acquired from a single camera; besides, the characteristics of the shape change of the human body in the fall-down motion are considered by the algorithm, image windows of multiple scales are arranged, the transfer probability between the windows of multiple scales is expressed by a Markov model, modeling of local context information between the adjacent image frames in the videos is performed and thus the better fall-down motion detection result can be obtained.

Description

technical field [0001] The invention relates to an action recognition, which belongs to the technical field of image recognition and human-computer interaction, and specifically refers to a falling action detection method based on an elderly care robot platform. Background technique [0002] With the advancement of science and technology and the improvement of medical standards, the average life expectancy of the world's population continues to increase, while the fertility rate continues to decline. Population aging has become a global problem. According to data from the civil affairs department, by the end of 2015, the number of people over 60 years old in China had exceeded 200 million, and it was growing rapidly at a rate of more than 3% per year. The aging of China's social population has entered a stage of rapid development. At present, dealing with the elderly care problem has become a national strategy, and "smart elderly care" has become one of the key industries fo...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62
CPCG06V20/42G06F18/2411
Inventor 刘翠微石祥滨
Owner SHENYANG AEROSPACE UNIVERSITY
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