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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국정보처리학회 JIPS(Journal of Information Processing Systems) JIPS(Journal of Information Processing Systems) 제17권 제3호
- 발행연도
- 2021.1
- 수록면
- 556 - 570 (15page)
이용수
초록· 키워드
오류제보하기
The existing video expression recognition methods mainly focus on the spatial feature extraction of videoexpression images, but tend to ignore the dynamic features of video sequences. To solve this problem, a multimode convolution neural network method is proposed to effectively improve the performance of facialexpression recognition in video. Firstly, OpenFace 2.0 is used to detect face images in video, and two deepconvolution neural networks are used to extract spatiotemporal expression features. Furthermore, spatialconvolution neural network is used to extract the spatial information features of each static expression image,and the dynamic information feature is extracted from the optical flow information of multiple expressionimages based on temporal convolution neural network. Then, the spatiotemporal features learned by the twodeep convolution neural networks are fused by multiplication. Finally, the fused features are input into supportvector machine to realize the facial expression classification. Experimental results show that the recognitionaccuracy of the proposed method can reach 64.57% and 60.89%, respectively on RML and Baum-ls datasets. It is better than that of other contrast methods.
목차
등록된 정보가 없습니다.
참고문헌 (30)
참고문헌 신청
Sayan Maity / 2020 / Multimodal Biometrics Recognition from Facial Video with Missing Modalities Using Deep Learning / JIPS(Journal of Information Processing Systems) 16(1):6~29
O. Agbolade / 2019 / 3-Dimensional facial expression recognition in human using multi-points warping / BMC Bioinformatics 20(1)
K. Talele / 2020 / Facial expression recognition using digital signature feature descriptor / Signal, Image and Video Processing 14:701~709
H. Sadeghi / 2019 / Human vision inspired feature extraction for facial expression recognition / Multimedia Tools and Applications 78(21):30335~30353
M. Sajjad / 2020 / Human behavior understanding in big multimedia data using CNN based facial expression recognition / Mobile Networks and Applications 25:1611~1621
O. Agbolade / 2019 / 3-Dimensional facial expression recognition in human using multi-points warping / BMC Bioinformatics 20(1)
K. Talele / 2020 / Facial expression recognition using digital signature feature descriptor / Signal, Image and Video Processing 14:701~709
H. Sadeghi / 2019 / Human vision inspired feature extraction for facial expression recognition / Multimedia Tools and Applications 78(21):30335~30353
M. Sajjad / 2020 / Human behavior understanding in big multimedia data using CNN based facial expression recognition / Mobile Networks and Applications 25:1611~1621
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