Capture of microexpressions based on the entropy of oriented optical flow
This paper proposes an algorithm that is effective in detecting the key frame of microexpression based on the entropy of oriented optical flow. Initially, this paper used an improved Horn-Schunck optical flow to extract the motion features of adjacent frames. Then, the threshold algorithm was used t...
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| Format: | Article |
| Language: | zho |
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Science Press
2017-11-01
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| Series: | 工程科学学报 |
| Subjects: | |
| Online Access: | http://cje.ustb.edu.cn/article/doi/10.13374/j.issn2095-9389.2017.11.016 |
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| author | LI Dan XIE Lun LU Ting HAN Jing HU Bo WANG Zhi-liang REN Fu-ji |
| author_facet | LI Dan XIE Lun LU Ting HAN Jing HU Bo WANG Zhi-liang REN Fu-ji |
| author_sort | LI Dan |
| collection | DOAJ |
| description | This paper proposes an algorithm that is effective in detecting the key frame of microexpression based on the entropy of oriented optical flow. Initially, this paper used an improved Horn-Schunck optical flow to extract the motion features of adjacent frames. Then, the threshold algorithm was used to filter the optical flow vectors with high-projective modulus. To capture the key frame of microexpression, the paper used information entropy to count the direction of optical flow vectors and analyzed the changing of microexpressions using an entropy vector of video sequences. Finally, the algorithm in this paper was verified with microexpression database SMIC (Oulu University) and CASME (the Director of the Institute of Psychology at the Chinese Academy of Sciences, Fu Xiaolan). Compared with traditional frame differences, experiments show that the algorithm is good not only in expressing the trend of the microexpression but also in providing the basis for microexpression recognition. |
| format | Article |
| id | doaj-art-3a3f640ce66a49b3b71a71027a6bf29b |
| institution | OA Journals |
| issn | 2095-9389 |
| language | zho |
| publishDate | 2017-11-01 |
| publisher | Science Press |
| record_format | Article |
| series | 工程科学学报 |
| spelling | doaj-art-3a3f640ce66a49b3b71a71027a6bf29b2025-08-20T01:47:55ZzhoScience Press工程科学学报2095-93892017-11-0139111727173410.13374/j.issn2095-9389.2017.11.016Capture of microexpressions based on the entropy of oriented optical flowLI Dan0XIE Lun1LU Ting2HAN Jing3HU Bo4WANG Zhi-liang5REN Fu-ji61) School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China1) School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China1) School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China1) School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China1) School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China1) School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China2) School of Computer and Information, Hefei University of Technology, Hefei 230009, ChinaThis paper proposes an algorithm that is effective in detecting the key frame of microexpression based on the entropy of oriented optical flow. Initially, this paper used an improved Horn-Schunck optical flow to extract the motion features of adjacent frames. Then, the threshold algorithm was used to filter the optical flow vectors with high-projective modulus. To capture the key frame of microexpression, the paper used information entropy to count the direction of optical flow vectors and analyzed the changing of microexpressions using an entropy vector of video sequences. Finally, the algorithm in this paper was verified with microexpression database SMIC (Oulu University) and CASME (the Director of the Institute of Psychology at the Chinese Academy of Sciences, Fu Xiaolan). Compared with traditional frame differences, experiments show that the algorithm is good not only in expressing the trend of the microexpression but also in providing the basis for microexpression recognition.http://cje.ustb.edu.cn/article/doi/10.13374/j.issn2095-9389.2017.11.016microexpressionhorn-schunck optical floworiented optical flowframe differencekey-frame capture |
| spellingShingle | LI Dan XIE Lun LU Ting HAN Jing HU Bo WANG Zhi-liang REN Fu-ji Capture of microexpressions based on the entropy of oriented optical flow 工程科学学报 microexpression horn-schunck optical flow oriented optical flow frame difference key-frame capture |
| title | Capture of microexpressions based on the entropy of oriented optical flow |
| title_full | Capture of microexpressions based on the entropy of oriented optical flow |
| title_fullStr | Capture of microexpressions based on the entropy of oriented optical flow |
| title_full_unstemmed | Capture of microexpressions based on the entropy of oriented optical flow |
| title_short | Capture of microexpressions based on the entropy of oriented optical flow |
| title_sort | capture of microexpressions based on the entropy of oriented optical flow |
| topic | microexpression horn-schunck optical flow oriented optical flow frame difference key-frame capture |
| url | http://cje.ustb.edu.cn/article/doi/10.13374/j.issn2095-9389.2017.11.016 |
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