Inferring facial expressions from videos: Tool and application |
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| Affiliation: | 1. Institut Géographique National, 94165 Saint-Mandé, France;2. Computer Vision Center, 08193 Bellaterra, Barcelona, Spain;1. Faculty of Electronic Engineering, University of Ni?, Aleksandra Medvedeva 14, Ni? 18000, Serbia;2. College of Applied Technical Sciences Ni?, Aleksandra Medvedeva 20, Ni? 18000, Serbia;1. CNRS, UMR5292, INSERM U1028, Lyon Neuroscience Research Center, University Lyon, F-69000, France;2. Research Center of the Institut Paul Bocuse, Ecully, France;3. Centre de Recherche en Nutrition Humaine Rhone-Alpes and CENS, University of Lyon 1, CH Lyon Sud, Hospices Civils de Lyon, 69310 Pierre Bénite, France;4. Smell & Taste Clinic, Department of Otorhinolaryngology, University of Dresden Medical School, Dresden, Germany;5. CH Lyon Sud, Hospices Civils de Lyon, 69310 Pierre Bénite, France |
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| Abstract: | In this paper, we propose a novel approach for facial expression analysis and recognition. The main contributions of the paper are as follows. First, we propose a temporal recognition scheme that classifies a given image in an unseen video into one of the universal facial expression categories using an analysis–synthesis scheme. The proposed approach relies on tracked facial actions provided by a real-time face tracker. Second, we propose an efficient recognition scheme based on the detection of keyframes in videos. Third, we use the proposed method for extending the human–machine interaction functionality of the AIBO robot. More precisely, the robot is displaying an emotional state in response to the user's recognized facial expression. Experiments using unseen videos demonstrated the effectiveness of the developed methods. |
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