Human action recognition based on back propagation neural network
For human action recognition,an algorithm for classifying human action based on back propagation (BP) neural network was proposed.Firstly,singular value decomposition (SVD) was used to extract the singular value of each frame of the video.Then each row of a matrix was composed of the singular value...
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| Format: | Article |
| Language: | English |
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POSTS&TELECOM PRESS Co., LTD
2017-09-01
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| Series: | 网络与信息安全学报 |
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| Online Access: | http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2017.00196 |
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| _version_ | 1841530207280824320 |
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| author | Jian ZOU |
| author_facet | Jian ZOU |
| author_sort | Jian ZOU |
| collection | DOAJ |
| description | For human action recognition,an algorithm for classifying human action based on back propagation (BP) neural network was proposed.Firstly,singular value decomposition (SVD) was used to extract the singular value of each frame of the video.Then each row of a matrix was composed of the singular value of each video.Every single row of the matrix is a sample of human action.Secondly,the principle component analysis (PCA) algorithm was proposed to remove correlation and reduce dimension.Then the linear discriminant analysis (LDA) algorithm was applied to matrix processed by PCA to make samples linearly separable.Finally,the back propagation neural network was used as a classifier.The experimental results show that the proposed method,compared with nearest neighbor classifier and K-nearest neighbor (kNN) classifier,has a higher recognition rate. |
| format | Article |
| id | doaj-art-506980da5185486c8f8dd826c1fe4150 |
| institution | Kabale University |
| issn | 2096-109X |
| language | English |
| publishDate | 2017-09-01 |
| publisher | POSTS&TELECOM PRESS Co., LTD |
| record_format | Article |
| series | 网络与信息安全学报 |
| spelling | doaj-art-506980da5185486c8f8dd826c1fe41502025-01-15T03:06:05ZengPOSTS&TELECOM PRESS Co., LTD网络与信息安全学报2096-109X2017-09-013556059551490Human action recognition based on back propagation neural networkJian ZOUFor human action recognition,an algorithm for classifying human action based on back propagation (BP) neural network was proposed.Firstly,singular value decomposition (SVD) was used to extract the singular value of each frame of the video.Then each row of a matrix was composed of the singular value of each video.Every single row of the matrix is a sample of human action.Secondly,the principle component analysis (PCA) algorithm was proposed to remove correlation and reduce dimension.Then the linear discriminant analysis (LDA) algorithm was applied to matrix processed by PCA to make samples linearly separable.Finally,the back propagation neural network was used as a classifier.The experimental results show that the proposed method,compared with nearest neighbor classifier and K-nearest neighbor (kNN) classifier,has a higher recognition rate.http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2017.00196human action recognitionSVDPCALDAback propagation neural network |
| spellingShingle | Jian ZOU Human action recognition based on back propagation neural network 网络与信息安全学报 human action recognition SVD PCA LDA back propagation neural network |
| title | Human action recognition based on back propagation neural network |
| title_full | Human action recognition based on back propagation neural network |
| title_fullStr | Human action recognition based on back propagation neural network |
| title_full_unstemmed | Human action recognition based on back propagation neural network |
| title_short | Human action recognition based on back propagation neural network |
| title_sort | human action recognition based on back propagation neural network |
| topic | human action recognition SVD PCA LDA back propagation neural network |
| url | http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2017.00196 |
| work_keys_str_mv | AT jianzou humanactionrecognitionbasedonbackpropagationneuralnetwork |