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Video-based diving platform skiing motion analysis method

A technology for skiing and analysis methods, applied in the fields of instruments, character and pattern recognition, computer parts, etc., can solve the problems of less motion analysis, difficult implementation, and restrictions on ski jumping events, and achieves improved accuracy and simple data acquisition. Effect

Pending Publication Date: 2022-02-15
ANHUI UNIVERSITY
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Problems solved by technology

Although these methods have played a certain role in the analysis of ski jumping, but because the implementation of these methods is relatively difficult, they have played a certain role in restricting the development of ski jumping events in my country.
In recent years, the use of computer image processing, pattern recognition and other technologies to analyze athletes' postures and movements has become a contemporary research hotspot. However, there are still few motion analyzes based on video for ski jumping events.

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  • Video-based diving platform skiing motion analysis method
  • Video-based diving platform skiing motion analysis method
  • Video-based diving platform skiing motion analysis method

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Embodiment Construction

[0053] Such as image 3 As shown, a video-based ski jumping motion analysis method, the method includes the following sequential steps:

[0054] (1) Acquire the video data of ski jumping: use the calibrated high-speed camera to collect the action data of the skiers, preprocess the data and make a data set, and use the labeling tool Labelme to identify the visible key nodes of the skiers and snowboards Label with the real bounding box Boundingbox information;

[0055] (2) construct athlete and snowboard detection network model, key node detection network model respectively: described athlete and snowboard detection network model adopt YOLOv5s deep convolutional neural network, described key node detection network model adopts HRNet deep convolutional neural network;

[0056] (3) train athlete and snowboard detection network model, key node detection network model respectively;

[0057] (4) Predict the key nodes of the athletes and snowboards in the video image: First, use the...

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Abstract

The invention relates to a video-based diving platform skiing motion analysis method. The method comprises the following steps: acquiring video data of diving platform skiing motion; constructing an athlete and snowboard detection network model and a key node detection network model; training the athlete and snowboard detection network model and the key node detection network model; predicting key nodes of the athlete and snowboard images; and carrying out motion analysis on the skier. Data acquisition is relatively simple, and video data are captured by correctly and reasonably arranging a plurality of high-speed cameras in a diving platform ski field and calibrating the high-speed cameras; a diving platform skiing data set is established, automatic detection of key nodes of athletes and snowboards is achieved through a deep learning method, a traditional manual marking mode is replaced, and manpower and material resources are saved; by detecting the key points of the diving platform skiing athletes and the snowboard, the posture and kinematics parameters of the athletes are analyzed, and training of the skiing athletes is assisted.

Description

technical field [0001] The invention relates to the technical field of video-based motion analysis, in particular to a video-based ski jumping motion analysis method. Background technique [0002] The ski jumping project has been carried out in my country for a short period of time, with limited employees, complex outdoor environment, fast speed, wide range of motion, and safety issues that need to be considered, so it is difficult to analyze the movement of skiers. [0003] The current analysis methods for ski jumping are mainly to study the influence of aerodynamic force on the wind resistance of ski jumping through wind tunnel experiments, and to study the contact with the ground during the landing impact of Telemark posture through wearable sensors such as wireless pressure insoles and inertial motion units. reaction force. Although these methods have played a certain role in the analysis of ski jumping, but because the implementation of these methods is relatively diff...

Claims

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Application Information

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IPC IPC(8): G06V20/40G06V10/774G06K9/62
CPCG06F18/214
Inventor 鲍文霞牛涛王年董震朱明
Owner ANHUI UNIVERSITY