Minimum AUs for Real-Time Facial Expression Recognition in Frame Sequence
نویسندگان
چکیده
منابع مشابه
Real-time Automatic Facial Expression Recognition in Video Sequence
It is an established fact that words have just 7% contribution in human communication and 93% part is contributed by nonverbal communication exhibited by body language. Facial expressions constitute a vital part when we talk about human body language. The representation and recognition of facial expressions by computers has been an area of vital interest since long. The recent time has witnesse...
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Automatic recognition of facial expression is a necessary step toward the design of more natural human-computer interaction systems. This work presents an approach for the recognition of facial expressions in real time image sequence or video sequences. The faces features are tracked using SDM (Supervised Descent Method) Classification of the expression in the video sequences are performed usin...
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Facial expression recognition is a key aspect in the synthesis of adaptive human machine interfaces. If advanced expression recognition techniques are developed, machines can tailor their response to the feelings of their users. In this paper, we describe an algorithm which integrates Optical flow analysis and Support Vector Machines (SVM) to classify eight facial expressions with accuracies up...
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The most expressive way humans display emotions is through facial expressions. The aim of facial expression recognition methods is to build a system for classification of facial expressions from continuous video input automatically. The method proposed by Viola and Jones is used to detect the face region. Since the mouth plays a vital role in expressing emotions, the mouth features are used for...
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Facial expressions are the most powerful and direct means of presenting human emotions and feelings and offer a window into a persons’ state of mind. In recent years, the study of facial expression and recognition has gained prominence; as industry and services are keen on expanding on the potential advantages of facial recognition technology. As machine vision and artificial intelligence advan...
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ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2016
ISSN: 0975-8887
DOI: 10.5120/ijca2016910630