Moving Object Detection Technology of Line Dancing Based on Machine Vision

Li-yun, Liu

doi:10.1155/2021/9995980

Cited by 13 publications

(8 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the formula, m denotes the L × L impulse response array, also known as the convolution template [19].…”

Section: Development Of Sports Health Detection Systemmentioning

confidence: 99%

Health Detection System for Sports Dancers during Training Based on an Image Processing Technology

Zhang

2022

Applied Bionics and Biomechanics

View full text Add to dashboard Cite

Dance sport is a competition of athletes for qualities such as speed, strength, endurance, flexibility, and coordination, requiring a high level of overall physical fitness. As China’s sports fever continues to heat up, especially among students, the active nature of young people can lead to overenthusiasm for sports, dance, and other sports, which can lead to various physical discomforts during sports. Especially in the current sports habits of students, there is a great hidden danger of sports injuries. It is mainly due to excessive exercise, irregular exercise methods, and incomplete sports protective equipment. On this basis, this study proposes a model to further assess the health status of individuals and groups from the rate of energy consumption during exercise by building a real-time motion detection system. The development of sports health assessment systems, including the application of imaging techniques, is also analyzed. The experimental results in this article show that when the error threshold is set to 10%, the accuracy of the model is 85%, and the obtained results are ideal.

show abstract

“…In the formula, m denotes the L × L impulse response array, also known as the convolution template [19].…”

Section: Development Of Sports Health Detection Systemmentioning

confidence: 99%

Health Detection System for Sports Dancers during Training Based on an Image Processing Technology

Zhang

2022

Applied Bionics and Biomechanics

View full text Add to dashboard Cite

show abstract

“…Traditional ceramics artists gave full play to the good plasticity of local clay to create a large number of vivid and modelling complex characters, such as animals, birds, flowers, fruits, and vegetables. ey also made use of the plant ash, scrap metal, and jade residue by local people's workshops to produce ceramic glaze, forming a thick dignified, and colorful characteristics [13].…”

Section: E Artistic Characteristics Of Ceramicsmentioning

confidence: 99%

Based on Virtual Reality Technology Research on Innovation and Design of Ceramic Painting Products

Jiang

2022

Mathematical Problems in Engineering

View full text Add to dashboard Cite

In order to obtain the complete color point cloud data of traditional ceramic artworks and reconstruct them efficiently, a 3D digital reconstruction method of ceramic painting products based on virtual reality technology was proposed. By the method, the 3D color point cloud data of ceramic works were collected by the camera 3D scanning equipment. The new postprocessing methods such as fusion and repair were investigated and proposed so as to obtain the complete optimized color point cloud information. The high-fidelity 3D mesh model and simplified mesh of ceramic artworks were obtained through the mesh process and the digital display platform was developed by using virtual reality technology. The experiment results showed that the 3D color point cloud data of traditional ceramic artworks were obtained by +5 exposure blend methods on average in the 6 combined modes and point cloud optimization and repair were completed. High-precision color mesh model was generated and digital promotion and publicity were carried out. The proposed 3D reconstruction technology and virtual display method made a positive exploration for the protection, inheritance, and promotion of China’s ceramic artworks and made a new attempt for the digital protection of cultural heritage by using modern science and technology.

show abstract

“…e best distance is the road that minimizes the distance along the path, which can be easily determined according to the recognition algorithm. Define a cumulative distance α(u, l), as in (5). Match these two sequences m and z starting from the point (0, 0).…”

Section: Action Recognitionmentioning

confidence: 99%

Walking Position Data in Football Training Based on Embedded Action Recognition System

Li¹

2022

Mobile Information Systems

View full text Add to dashboard Cite

With the development of image recognition and pattern recognition, action recognition has become a hot research direction in the field of computer actions. Because the embedded platform has the advantages of small size and low power consumption, it is a good choice to use the embedded platform for action recognition. These sensor data are used to overcome the drift error of the gyroscope when the positioning data are collected, and the accuracy and reliability of the data are improved. The system uses two data forwarding nodes to aggregate the data of each sensor and then transmit it to the host computer. The data aggregation node can communicate and upload data by means of Bluetooth or wire. In order to deeply study the relevance of the embedded action recognition system in collecting football training positioning data, this paper uses simulation model establishment method, data collection method, and theory and practice combination method to collect samples, analyzes the embedded action recognition system, and streamlines the algorithm. Using computer technology as a support when building a simulation model, the first thing you need to have is a certain computer technology because when building a simulation model, not all objects can be modeled. At this time, only computer technology can be used as a support to build a simulation model of some objects and create an action recognition system that can record the position data in football training. After establishing the human body simulation recognition model, use MATLAB to extract the K bone information. When collecting, the human body is facing the K device, the number of acquisition frames is 25, 55, 75, 95, 105, and 205, and each frame number is collected 10 times. Take the average. The delay time is 4s. The result shows that the 20 key bone point outputs by K come from the RGB camera on the same side. Further study the actual utility of the compensated model in the presence of occlusion. They are worn on the middle of the thigh and calf, respectively. In a sensor, the measured value of thigh length L1 is 0.6 m, and the value of calf length L2 is 0.4 m. Take the right knee as an example. When the leg is raised, the b-axis coordinate increases by 2%, and the c-axis coordinate decreases by 1.8%. When the leg is lowered, the opposite is true. It can be seen that the compensated coordinate is consistent with the action. It is basically realized that starting from the embedded action recognition system, a model that can support the analysis of football positioning data is designed.

show abstract

Moving Object Detection Technology of Line Dancing Based on Machine Vision

Cited by 13 publications

References 19 publications

Health Detection System for Sports Dancers during Training Based on an Image Processing Technology

Health Detection System for Sports Dancers during Training Based on an Image Processing Technology

Based on Virtual Reality Technology Research on Innovation and Design of Ceramic Painting Products

Walking Position Data in Football Training Based on Embedded Action Recognition System

Contact Info

Product

Resources

About