A method for feature division of Soccer Foul actions based on salience image semantics.
The purpose of this study is to realize the automatic identification and classification of fouls in football matches and improve the overall identification accuracy. Therefore, a Deep Learning-Based Saliency Prediction Model (DLSPM) is proposed. DLSPM combines the improved DeepPlaBV 3+architecture f...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2025-01-01
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| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0322889 |
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| _version_ | 1850218926455128064 |
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| author | Jianming Wang Lifeng Li |
| author_facet | Jianming Wang Lifeng Li |
| author_sort | Jianming Wang |
| collection | DOAJ |
| description | The purpose of this study is to realize the automatic identification and classification of fouls in football matches and improve the overall identification accuracy. Therefore, a Deep Learning-Based Saliency Prediction Model (DLSPM) is proposed. DLSPM combines the improved DeepPlaBV 3+architecture for salient region detection, Graph Convolutional Networks (GCN) for feature extraction and Deep Neural Network (DNN) for classification. By automatically identifying the key action areas in the image, the model reduces the dependence on traditional image processing technology and manual feature extraction, and improves the accuracy and robustness of foul behavior identification. The experimental results show that DLSPM performs significantly better than the existing methods on multiple video motion recognition data sets, especially when dealing with complex scenes and dynamic changes. The research results not only provide a new perspective and method for the field of video motion recognition, but also lay a foundation for the application in intelligent monitoring and human-computer interaction. |
| format | Article |
| id | doaj-art-c15ed0793b6940fbb70f0ad0e0520bf6 |
| institution | OA Journals |
| issn | 1932-6203 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj-art-c15ed0793b6940fbb70f0ad0e0520bf62025-08-20T02:07:34ZengPublic Library of Science (PLoS)PLoS ONE1932-62032025-01-01206e032288910.1371/journal.pone.0322889A method for feature division of Soccer Foul actions based on salience image semantics.Jianming WangLifeng LiThe purpose of this study is to realize the automatic identification and classification of fouls in football matches and improve the overall identification accuracy. Therefore, a Deep Learning-Based Saliency Prediction Model (DLSPM) is proposed. DLSPM combines the improved DeepPlaBV 3+architecture for salient region detection, Graph Convolutional Networks (GCN) for feature extraction and Deep Neural Network (DNN) for classification. By automatically identifying the key action areas in the image, the model reduces the dependence on traditional image processing technology and manual feature extraction, and improves the accuracy and robustness of foul behavior identification. The experimental results show that DLSPM performs significantly better than the existing methods on multiple video motion recognition data sets, especially when dealing with complex scenes and dynamic changes. The research results not only provide a new perspective and method for the field of video motion recognition, but also lay a foundation for the application in intelligent monitoring and human-computer interaction.https://doi.org/10.1371/journal.pone.0322889 |
| spellingShingle | Jianming Wang Lifeng Li A method for feature division of Soccer Foul actions based on salience image semantics. PLoS ONE |
| title | A method for feature division of Soccer Foul actions based on salience image semantics. |
| title_full | A method for feature division of Soccer Foul actions based on salience image semantics. |
| title_fullStr | A method for feature division of Soccer Foul actions based on salience image semantics. |
| title_full_unstemmed | A method for feature division of Soccer Foul actions based on salience image semantics. |
| title_short | A method for feature division of Soccer Foul actions based on salience image semantics. |
| title_sort | method for feature division of soccer foul actions based on salience image semantics |
| url | https://doi.org/10.1371/journal.pone.0322889 |
| work_keys_str_mv | AT jianmingwang amethodforfeaturedivisionofsoccerfoulactionsbasedonsalienceimagesemantics AT lifengli amethodforfeaturedivisionofsoccerfoulactionsbasedonsalienceimagesemantics AT jianmingwang methodforfeaturedivisionofsoccerfoulactionsbasedonsalienceimagesemantics AT lifengli methodforfeaturedivisionofsoccerfoulactionsbasedonsalienceimagesemantics |