Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB

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Gaussian Process based Dynamic Facial Emotion Tracking

2019 , Dunau, Patrick , Huber, Marco , Beyerer, Jürgen

Capturing the emotions of humans is of paramount importance in human-machine interaction. Here, emotions are typically extracted from the human's face recorded in image sequences. In this paper, tracking emotions from images is formulated as Bayesian state estimation problem where the system state represents the valence-arousal space of emotions. Handcrafted image features are first mapped to the valence-arousal space by means of a Gaussian process. To allow dynamic emotion tracking, a Kalman filter is derived, where an inequality constraint on the emotional state is employed in order to avoid a drifting state. Experiments based on two well-known facial expression datasets are performed to demonstrate the performance of the proposed approach.

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Comparison of Angle and Size Features with Deep Learning for Emotion Recognition

2019 , Dunau, Patrick , Huber, Marco , Beyerer, Jürgen

The robust recognition of a person's emotion from images is an important task in human-machine interaction. This task can be considered a classification problem, for which a plethora of methods exists. In this paper, the emotion recognition performance of two fundamentally different approaches is compared: classification based on hand-crafted features against deep learning. This comparison is conducted by means of well-established datasets and highlights the benefits and drawbacks of each approach.

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Kognitive Systeme und Robotik

2018 , Bauckhage, Christian , Bauernhansl, Thomas , Beyerer, Jürgen , Garcke, Jochen

Kognitive Systeme können komplexe Prozesse überwachen, analysieren und gewinnen daraus auch die Fähigkeit, in ungeplanten oder unbekannten Situationen richtig zu entscheiden. Fraunhofer-Experten setzen Verfahren des maschinellen Lernens ein, um neue kognitive Funktionen für Roboter und Automatisierungslösungen zu nutzen. Dazu statten sie Systeme mit Technologien aus, die von menschlichen Fähigkeiten inspiriert sind bzw. diese imitieren und optimieren. Der Bericht beschreibt diese Technologien, erläutert aktuelle Anwendungsbeispiele und entwirft Szenarien für zukünftige Anwendungsfelder.

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