Dance Video Motion Recognition Based on Computer Vision and Image Processing
In recent years, motion recognition has become a hot research topic in the field of computer vision and has great research worth. Scholars and research institutions at home and abroad have made a lot of research and achieved good results. However, the research results of applying motion recognition...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2023-12-01
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| Series: | Applied Artificial Intelligence |
| Online Access: | http://dx.doi.org/10.1080/08839514.2023.2226962 |
| _version_ | 1797684801874952192 |
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| author | Yawen Pang Yi Niu |
| author_facet | Yawen Pang Yi Niu |
| author_sort | Yawen Pang |
| collection | DOAJ |
| description | In recent years, motion recognition has become a hot research topic in the field of computer vision and has great research worth. Scholars and research institutions at home and abroad have made a lot of research and achieved good results. However, the research results of applying motion recognition technology to dance video are relatively few, mainly because the complexity of human motion in dance video is relatively high. In article, an optimized design scheme for motion recognition research of dance video based on computer vision and image processing is proposed. The collected dance video is preprocessed, including grayscale, background subtraction and filter denoising, so as to extract the character features in the video image. Then, the method of self-organizing mapping neural network (SOM) in computer vision is used to realize the recognition of dance movements. Finally, the simulation test and analysis are carried out. The simulation results show that the proposed arithmetic has a certain accuracy, which is 9.34% higher than the traditional arithmetic. The research of motion recognition method based on dance video will also play a certain reference role for the research of human motion recognition in a large number of real and complex environments, and enrich the application field of motion recognition technology. |
| first_indexed | 2024-03-12T00:35:03Z |
| format | Article |
| id | doaj.art-55bb1c5b9049416fad7ba0ccb5d02277 |
| institution | Directory Open Access Journal |
| issn | 0883-9514 1087-6545 |
| language | English |
| last_indexed | 2024-03-12T00:35:03Z |
| publishDate | 2023-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Applied Artificial Intelligence |
| spelling | doaj.art-55bb1c5b9049416fad7ba0ccb5d022772023-09-15T10:01:06ZengTaylor & Francis GroupApplied Artificial Intelligence0883-95141087-65452023-12-0137110.1080/08839514.2023.22269622226962Dance Video Motion Recognition Based on Computer Vision and Image ProcessingYawen Pang0Yi Niu1Dongguan City UniversityDongguan University of TechnologyIn recent years, motion recognition has become a hot research topic in the field of computer vision and has great research worth. Scholars and research institutions at home and abroad have made a lot of research and achieved good results. However, the research results of applying motion recognition technology to dance video are relatively few, mainly because the complexity of human motion in dance video is relatively high. In article, an optimized design scheme for motion recognition research of dance video based on computer vision and image processing is proposed. The collected dance video is preprocessed, including grayscale, background subtraction and filter denoising, so as to extract the character features in the video image. Then, the method of self-organizing mapping neural network (SOM) in computer vision is used to realize the recognition of dance movements. Finally, the simulation test and analysis are carried out. The simulation results show that the proposed arithmetic has a certain accuracy, which is 9.34% higher than the traditional arithmetic. The research of motion recognition method based on dance video will also play a certain reference role for the research of human motion recognition in a large number of real and complex environments, and enrich the application field of motion recognition technology.http://dx.doi.org/10.1080/08839514.2023.2226962 |
| spellingShingle | Yawen Pang Yi Niu Dance Video Motion Recognition Based on Computer Vision and Image Processing Applied Artificial Intelligence |
| title | Dance Video Motion Recognition Based on Computer Vision and Image Processing |
| title_full | Dance Video Motion Recognition Based on Computer Vision and Image Processing |
| title_fullStr | Dance Video Motion Recognition Based on Computer Vision and Image Processing |
| title_full_unstemmed | Dance Video Motion Recognition Based on Computer Vision and Image Processing |
| title_short | Dance Video Motion Recognition Based on Computer Vision and Image Processing |
| title_sort | dance video motion recognition based on computer vision and image processing |
| url | http://dx.doi.org/10.1080/08839514.2023.2226962 |
| work_keys_str_mv | AT yawenpang dancevideomotionrecognitionbasedoncomputervisionandimageprocessing AT yiniu dancevideomotionrecognitionbasedoncomputervisionandimageprocessing |