지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국정보처리학회 JIPS(Journal of Information Processing Systems) JIPS(Journal of Information Processing Systems) 제17권 제2호
- 발행연도
- 2021.1
- 수록면
- 337 - 351 (15page)
이용수
초록· 키워드
오류제보하기
Automatically recognizing facial expressions in video sequences is a challenging task because there is littledirect correlation between facial features and subjective emotions in video. To overcome the problem, a videofacial expression recognition method using spatiotemporal recurrent neural network and feature fusion isproposed. Firstly, the video is preprocessed. Then, the double-layer cascade structure is used to detect a face ina video image. In addition, two deep convolutional neural networks are used to extract the time-domain andairspace facial features in the video. The spatial convolutional neural network is used to extract the spatialinformation features from each frame of the static expression images in the video. The temporal convolutionalneural network is used to extract the dynamic information features from the optical flow information frommultiple frames of expression images in the video. A multiplication fusion is performed with the spatiotemporalfeatures learned by the two deep convolutional neural networks. Finally, the fused features are input to thesupport vector machine to realize the facial expression classification task. The experimental results oncNTERFACE, RML, and AFEW6.0 datasets show that the recognition rates obtained by the proposed methodare as high as 88.67%, 70.32%, and 63.84%, respectively. Comparative experiments show that the proposedmethod obtains higher recognition accuracy than other recently reported methods.
목차
등록된 정보가 없습니다.
참고문헌 (30)
참고문헌 신청
J. Li / 2019 / CNN-based facial expression recognition from annotated rgb-d images for human–robot interaction / International Journal of Humanoid Robotics 16(4)
M. U. Nagaral / 2018 / Hybrid approach for facial expression recognition using HJDLBP and LBP histogram in video sequences / International Journal of Image, Graphics and Signal Processing 10(2):1~9
X. Fan / 2018 / A discriminative dynamic framework for facial expression recognition in video sequences / Journal of Visual Communication and Image Representation 56:182~187
F. Ahmed / 2018 / Facial expression recognition under difficult conditions : a comprehensive study on edge directional texture patterns / International Journal of Applied Mathematics and Computer Science 28(2):399~409
H. Yan / 2018 / Collaborative discriminative multi-metric learning for facial expression recognition in video / Pattern Recognition 75:33~40
M. U. Nagaral / 2018 / Hybrid approach for facial expression recognition using HJDLBP and LBP histogram in video sequences / International Journal of Image, Graphics and Signal Processing 10(2):1~9
X. Fan / 2018 / A discriminative dynamic framework for facial expression recognition in video sequences / Journal of Visual Communication and Image Representation 56:182~187
F. Ahmed / 2018 / Facial expression recognition under difficult conditions : a comprehensive study on edge directional texture patterns / International Journal of Applied Mathematics and Computer Science 28(2):399~409
H. Yan / 2018 / Collaborative discriminative multi-metric learning for facial expression recognition in video / Pattern Recognition 75:33~40
함께 읽어보면 좋을 논문
논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!
-
A Video Expression Recognition Method Based on Multi-mode Convolution Neural Network and Multiplicative Feature Fusion
JIPS(Journal of Information Processing Systems)
2021 .01
-
심층신경망 모델과 얼굴영상 정렬 네트워크를 활용한 얼굴 표정인식
대한전자공학회 학술대회
2021 .11
-
Extraction of Key Frames from Dance Videos and Movement Recognition by Multi-feature Fusion
IEIE Transactions on Smart Processing & Computing
2023 .12
-
컨볼루셔널 신경망과 케스케이드 안면 특징점 검출기를 이용한 얼굴의 특징점 분류
제어로봇시스템학회 논문지
2016 .03
-
동영상 기반 감정인식을 위한 DNN 구조
한국방송미디어공학회 학술발표대회 논문집
2019 .06
-
Face Detection and Emotion Classification Using Single Deep Convolutional Network for Facial Emotion Recognition
제어로봇시스템학회 논문지
2019 .01
-
Human Motion Recognition Based on Spatio-temporal Convolutional Neural Network
멀티미디어학회논문지
2020 .08
-
Facial Expression Classification Using Deep Convolutional Neural Network
Journal of Electrical Engineering & Technology
2018 .01
-
카메라 입력 영상의 표정 추출을 통한 감성 인지 모듈 개발
대한전자공학회 학술대회
2015 .06
-
Expression Recognition Algorithm Based on Fusion Features for Students’ Emotional Analysis on Art Education Platform
IEIE Transactions on Smart Processing & Computing
2025 .02
-
깊은 Convolutional Neural Network를 이용한 얼굴표정 분류 기법
방송공학회논문지
2017 .03
-
Facial Emotion Recognition using Convolutional Neural Network Based on Repetitive Learning Blocks Approach
한국정보과학회 학술발표논문집
2020 .07
-
Convolutional Neural Network를 이용한 동영상 내 동작 인식을 위한 효과적 학습 방법
한국정보과학회 학술발표논문집
2016 .12
-
Human Action Recognition Based on 3D Convolutional Neural Network from Hybrid Feature
멀티미디어학회논문지
2019 .12
-
Facial Expression Recognition Method Based on Residual Masking Reconstruction Network
JIPS(Journal of Information Processing Systems)
2023 .06
-
A Slim Convolutional Neural Network for Low-cost Masked Facial Expression Classifier
제어로봇시스템학회 국제학술대회 논문집
2023 .10
-
A Framework for Facial Expression Recognition Combining Contextual Information and Attention Mechanism
JIPS(Journal of Information Processing Systems)
2024 .08
-
얼굴 표정 인식을 위한 Convolutional Neural Networks
한국방송미디어공학회 학술발표대회 논문집
2016 .11
-
Vehicle Make and Model Recognition System based on Convolutional Neural Network
정보 및 제어 논문집
2017 .04
-
얼굴 특징 변화에 따른 휴먼 감성 인식
반도체디스플레이기술학회지
2017 .01
이 논문의 저자 정보
최근 본 자료
댓글(0)
0