Rope skipping number statistical method based on human body posture estimation and TPA attention mechanism

A technology of human posture and attention, applied in computer parts, neural learning methods, calculations, etc., can solve problems that are difficult to capture and analyze, and achieve the goals of saving training time, efficient and practical training methods, and improving accuracy Effect

Active Publication Date: 2021-02-23
安徽一视科技有限公司
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  • Application Information

AI Technical Summary

Problems solved by technology

In most cases, the data collected are usually multivariate time series (MTS) data, and there may be complex dynamic interdependencies between different series, which are important but difficult to capture and analyze

Method used

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  • Rope skipping number statistical method based on human body posture estimation and TPA attention mechanism
  • Rope skipping number statistical method based on human body posture estimation and TPA attention mechanism
  • Rope skipping number statistical method based on human body posture estimation and TPA attention mechanism

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Embodiment Construction

[0046] In this example, refer to figure 1 , a method for counting the number of skipping ropes based on human body pose estimation and TPA attention mechanism is carried out as follows:

[0047] Step 1: Collect a video of the rope skipping action on the front of the body on the baseline;

[0048] Step 2: Use the YOLO-V5 model to detect the rope skipping action video, and enlarge the detected human body area to obtain the enlarged human body area video;

[0049] In this embodiment, the magnification factor is selected as 1.1 times.

[0050] Step 3: Use the Openpose model to detect the enlarged human body area video, and obtain a set of human body key point vectors;

[0051] In this embodiment, the Openpose model extracts the coordinates of 25 key points of the human body, and the coordinates of the key points are saved in the file format of .json.

[0052] Step 4: Extract the key point vectors of all waists in the human body key point vector set M=[X 1,1 ,Y 1,1 ,D 1,1 ,X ...

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Abstract

The invention discloses a rope skipping number counting method based on human body posture estimation and a TPA attention mechanism. The rope skipping number counting method comprises the steps that 1, extracting human body key points in a rope skipping action video by means of an Openpose model; 2, obtaining an oscillogram of the distance between the key point and the reference line with respectto time; 3, constructing and training an SRNN model based on a TPA attention mechanism; and 4, comprehensively considering the judgment condition 1 and the judgment condition 2 to judge whether a ropeskipping action exists. According to the method, the number of skipping ropes of a detected object can be detected in real time through equipment, so that the detection precision and efficiency are effectively improved.

Description

technical field [0001] The invention belongs to the field of artificial intelligence applications, target recognition technology, human body posture estimation technology, deep learning technology, and specifically a method for counting the number of skipping ropes based on human body posture estimation and TPA attention mechanism. Background technique [0002] At present, the judgment of sports actions is still at the artificial stage, and the growing demand for judgment drives the development of artificial intelligence. [0003] Recurrent neural networks (RNNs) have been widely used in many natural language processing tasks, including machine translation, question answering, image captioning, and document classification. RNN has the ability to obtain sequential information of the input sequence. Two of the most popular recurrent units are the long short-term memory (LSTM) and the gated recurrent unit (GRU), both of which can store previous memories in the hidden state and...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06N3/04G06N3/08
CPCG06N3/08G06V40/23G06V20/42G06N3/048G06N3/045
Inventor 唐义平汪斌颜宋宋丁美双彭思瑶李帷韬
Owner 安徽一视科技有限公司
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