Sports video analysis system based on dynamic image analysis

被引：0
作者：
Zhen Li
Xinjiang Ye
Huawei Liang
机构：
[1] Henan Polytechnic University,School of Physical Education
[2] Zhengzhou University,College of Physical Education (Main Campus)
来源：
Neural Computing and Applications | 2023年 / 35卷
关键词：
Dynamic image analysis; Sports; Video analysis; Image processing;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
To improve the quality of sports training and competitions, it is necessary to analyze sports videos. Therefore, this paper builds a sports video analysis system based on image recognition technology. To improve the data fusion effect of the system, this article starts from the time and space scale and frequency scale of the dynamic image to comprehensively use the technologies of motion estimation, multi-scale transformation, and visual attention to realize the comprehensive analysis of the dynamic image. Moreover, this paper constructs a dynamic image analysis method and applies it to dynamic image fusion to improve the quality of the fused dynamic image. In addition, this article combines the needs of sports image analysis to construct system function modules and compares the input video action decomposition with the standard database to correct the sports action. Finally, this article designs experiments to verify the performance of the system. The research results show that the system constructed in this paper has a certain effect.
引用
收藏
页码：4409 / 4420
页数：11
相关论文
共 53 条
[1]  
Marsh HW(2015)The internal/external frame of reference model of self-concept and achievement relations: age-cohort and cross-cultural differences[J] Am Educ Res J 52 168-202
[2]  
Abduljabbar AS(2019)At-risk at the gate: prediction of study success of first-year science and engineering students in an open-admission university in flanders—any incremental validity of study strategies?[J] Euro J Psychol Educ 34 45-66
[3]  
Parker PD(2017)Achievement effects of individual performance incentives in a teacher merit pay tournament[J] Labour Econ 44 133-150
[4]  
Pinxten M(2016)assessing the incremental value of kabc-II luria model scores in predicting achievement: what do they tell us beyond the MPI?[J] Psychol Sch 53 677-689
[5]  
Soom CV(2016)Emotional understanding as a predictor of socio-emotional functioning and school achievement in adolescence[J] Psihologija 49 357-374
[6]  
Peeters CM(2016)Predicting academic achievement and attainment: the contribution of early academic skills, attention difficulties, and social competence[J] Sch Psychol Rev 45 250-267
[7]  
Brehm M(2018)Swedish student perceptions of achievement practices: the role of intelligence[J] Intelligence 69 94-103
[8]  
Imberman SA(2018)Parameter identification for solar cells and module using a hybrid firefly and pattern search algorithms[J] Sol Energy 171 435-446
[9]  
Lovenheim MF(2015)Nonlinear system identification using a cuckoo search optimized adaptive hammerstein model[J] Expert Syst Appl 42 2538-2546
[10]  
Mcgill RJ(2014)Improved gravitational search algorithm for parameter identification of water turbine regulation system[J] Energy Convers Manage 78 306-315
123456