Paper
24 February 2023 Research on target detection based table tennis drop point recognition system
Xiaochen Fan
Author Affiliations +
Proceedings Volume 12590, Third International Conference on Computer Vision and Information Technology (CVIT 2022); 1259008 (2023) https://doi.org/10.1117/12.2669900
Event: 2022 3rd International Conference on Computer Vision and Information Technology (CVIT 2022), 2022, Beijing, China
Abstract
Science and technology have changed life. With the increasingly widespread application of image processing technology in sports competitions, in ball games, the landing point recognition system that recognizes and locates fast moving spheres plays an important role in competitions and daily training, and has become one of the research hotspots of artificial intelligence in the field of cultural entertainment. By collecting the players' playing videos, accurately identifying the landing points of table tennis and analyzing the landing areas, applying the target detection and tracking technology to the intelligent table tennis training scene, the system algorithm has carried out a number of experiments in the table tennis intelligent training system of the project team, accurately and effectively identifying the landing points and scoring the areas of table tennis, and realizing the functions of landing point identification and scoring the areas of table tennis, It has high recognition accuracy and real-time, and basically meets the functional requirements.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xiaochen Fan "Research on target detection based table tennis drop point recognition system", Proc. SPIE 12590, Third International Conference on Computer Vision and Information Technology (CVIT 2022), 1259008 (24 February 2023); https://doi.org/10.1117/12.2669900
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KEYWORDS
Education and training

Target detection

Video

Target recognition

Databases

Detection and tracking algorithms

Image processing

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