RETRACTED: Human motion image detection and tracking method based on Gaussian mixture model and CAMSHIFT

Liu, Ying

doi:10.1016/j.micpro.2021.103843

Cited by 4 publications

(2 citation statements)

References 5 publications

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“…Scientific and reasonable sports training is based on the feedback information of technical monitoring indicators, so as to regulate the intensity of sports training and related actions and realize a reasonable sports training mode. e realization of this technology lies in the detection of human body behavior characteristics [17]. However, the traditional detection methods of body behavior characteristics in sports training cannot feedback the athletes' key technology and range of action in real time and often need to use people's experience mode discrimination to achieve action analysis, which is not accurate and real-time.…”

Section: Detection Of Body Behavior Characteristics In Sports Training Based On Grey Relational Modelmentioning

confidence: 99%

Detection of Body Behavior Characteristics in Sports Training Based on Grey Relational Model

Zeng

2021

Security and Communication Networks

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In order to deal with the problems of low detection accuracy and efficiency existing in traditional detection methods of body behavior characteristics in sports training, this paper proposes a new detection method of body behavior characteristics in sports training based on the grey correlation model. According to this method, the foreground binary image is obtained by the interframe difference method, and the action information and contour information are extracted, firstly. And then, the behavior feature descriptor is obtained. After the description of body behavior characteristics in sports training is completed, the grey correlation coefficient is calculated, and the complete observation equation of time delay estimation of image grey value under complex sports training background is established to complete the detection of body behavior characteristics. The experimental results show that, compared with the traditional methods, the detection accuracy and efficiency of the text method can always maintain a high level, indicating that the practical application performance of this method is strong. In fact, the grey analysis does not attempt to find the best solution but does provide techniques for determining a good solution.

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Section: Detection Of Body Behavior Characteristics In Sports Training Based On Grey Relational Modelmentioning

confidence: 99%

Detection of Body Behavior Characteristics in Sports Training Based on Grey Relational Model

Zeng

2021

Security and Communication Networks

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“…McGuirk also compared and analyzed the effect of different data combinations on the classification results and proved that the acceleration data can be well used for the recognition of swimming movements [26]. e study in [27] used different machine learning algorithms on HAR (Human Activity Recognition) dataset for six different daily activities. e study in [28] used a machine learning model combining the AdaBoost integrated learning algorithm and the random forest algorithm, which achieved an accuracy of 0.998 for classification.…”

Section: Related Workmentioning

confidence: 99%

Research on Human Motion Analysis in Moving Scene Based on Timing Detection and Video Description Algorithm

Shen¹,

Song-zhong

2021

Discrete Dynamics in Nature and Society

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Technical movement analysis requires specialized domain knowledge and processing a large amount of data, and the advantages of AI in processing data can improve the efficiency of data analysis. In this paper, we propose a feature pyramid network-based temporal action detection (FPN-TAD) algorithm, which is used to solve the problem that the action proposal module has a low recall rate for small-scale temporal target action regions in the current video temporal action detection algorithm research. This paper is divided into three parts. The first part is an overview of the algorithm; the second part elaborates the network structure and the working principle of the FPN-TAD algorithm; and the third part gives the experimental results and analysis of the algorithm.

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Sensing Direction of Human Motion Using Single-Input-Single-Output (SISO) Channel Model and Neural Networks

et al. 2022

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RETRACTED: Human motion image detection and tracking method based on Gaussian mixture model and CAMSHIFT

Cited by 4 publications

References 5 publications

Detection of Body Behavior Characteristics in Sports Training Based on Grey Relational Model

Detection of Body Behavior Characteristics in Sports Training Based on Grey Relational Model

Research on Human Motion Analysis in Moving Scene Based on Timing Detection and Video Description Algorithm

Sensing Direction of Human Motion Using Single-Input-Single-Output (SISO) Channel Model and Neural Networks

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