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Recognizing Emotions from Video in a Continuous 2D Space

Abstract : This paper proposes an effective system for continuous facial affect recognition from videos. The system operates in a continuous 2D emotional space, characterized by evaluation and activation factors. It makes use, for each video frame, of a classification method able to output the exact location (2D point coordinates) of a still facial image in that space. It also exploits the Kalman filtering technique to control the 2D point movement along the affective space over time and to improve the robustness of the method by predicting its future locations in cases of temporal facial occlusions or inaccurate tracking.
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Sergio Ballano, Isabelle Hupont, Eva Cerezo, Sandra Baldassarri. Recognizing Emotions from Video in a Continuous 2D Space. 13th International Conference on Human-Computer Interaction (INTERACT), Sep 2011, Lisbon, Portugal. pp.600-603, ⟨10.1007/978-3-642-23768-3_92⟩. ⟨hal-01596928⟩



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