MeTRAbs: Metric-Scale Truncation-Robust Heatmaps for Absolute 3D Human Pose Estimation

In order to improve the effect of physical education teaching in modern colleges and universities, this paper combines the movement skill recognition algorithm to construct a physical education effect evaluation system and studies the multispectral image reproduction system in practical application. Moreover, this paper gives a detailed description of more advanced functional modules in the system, such as spectral acquisition, spectral reflectance reconstruction, and spectral color correction. In addition, this paper focuses on the algorithm design of the color appearance matching module. By adding the “color appearance transformation” on the source side and the “color appearance inversion” on the reproduction side, the source image and the reproduced image can achieve color appearance matching in the observation condition-independent space. The simulation experiment verifies that the physical education effect evaluation system based on action skill recognition meets the actual needs of physical education and has a good role in promoting the recognition of physical skills and the improvement of physical education effect.

“…Through formulas ( 9 ) to ( 13 ), the transformation between the spectral reflectance s can be estimated and the normalized tristimulus value c can be established [ 20 ]:

…”

Section: Action Recognition Algorithmsmentioning

confidence: 99%

Evaluation of Physical Education Teaching Effect Based on Action Skill Recognition

Ding

Wei

2022

“…Literature [ 17 ] is based on the theory that the shape of the object is a unified whole and adopts the overall nature of the shape of the object. Object detection is achieved by the method of boundary structure segmentation, which has a good detection effect on translation and image deformation.…”

Section: Related Workmentioning

confidence: 99%

The Visual Movement Analysis of Physical Education Teaching considering the Generalized Hough Transform Model

Liu

2022

In order to promote the effect of college physical education reform, this paper combines the generalized Hough transform model to analyze the visual movement of physical education teaching. The idea proposed in this paper uses the position information of the edge image itself and the direction information of the curve segment to directly eliminate the impossible targets, which fundamentally alleviates the problem of invalid sampling and accumulation. Moreover, this paper greatly constrains the parameter space based on the results of each segment of the curve, which greatly reduces the search burden of high-dimensional parameters, and combines the improved algorithm to construct a sports teaching video action analysis system. The experimental research shows that the visual movement analysis system of physical education teaching considering the generalized Hough transform model proposed in this paper can effectively analyze the sports teaching actions and improve the efficiency of physical education.

“…Literature [16] writes that it is important to scientifically and rationally arrange the training plans for each stage of the small, medium, and large cycles, intersperse competitions, assessments, relaxation, and other links in the quality training, and combine the large and small cycles, so that the cycle training can achieve excellent results. Literature [17] emphasizes the balanced development of various difficult movements, attaches importance to difficult movements and balance movements, strictly regulates movement standards, strengthens the time of equipment training, participates in more international competitions, accumulates experience, and makes use of the good model of competition-driven training.…”

Section: Related Workmentioning

confidence: 99%

A Digital Feature Recognition Technology Used in Ballet Training Action Correction

Sun

2022

In order to improve the effect of ballet training, this paper combines digital technology to improve the motion recognition process, analyzes the imaging process, analyzes the system process combined with the human node model, and combines digital feature recognition technology to construct a ballet training motion correction system. Moreover, this paper inputs the ballet training action recognition results into the system and compares the standard actions to judge the rationality of the actions and builds a ballet training action correction system based on digital feature recognition. In addition, this paper designs experiments to conduct ballet training movements in the system effect evaluation. The experimental research verifies that the digital feature recognition technology proposed in this paper can play an important role in ballet movement recognition and has a good action correction effect.