FFER 2014 - International Workshop on Face and Facial Expression Recognition from Real World Videos

The face plays a key role in many real-world applications such as security systems, human computer interaction, remote monitoring of patients, video annotation, and gaming. Having detected the face, pattern recognition techniques and machine learning algorithms are applied to facial images, for example, to find the identity of a subject or analyze her/his emotional status. Though face and facial expression recognition in still images and in ideal imaging conditions have been around for many years, they have been less explored in video sequences in uncontrolled imagining conditions. Developing face and facial expression recognition algorithms for real-world scenarios, for instance, for remote patient monitoring or for identification in surveillance videos are still challenging tasks. The purpose of this workshop is to bring together researchers who are working on developing face and facial expression recognition systems that involve non-ideal conditions, like those that might be present in a video. We welcome research papers focusing on the following (and similar) topics:
Video face recognition
Video facial expression recognition
Face and facial expression recognition from facial dynamics
Multi-face clustering from video
3D face modeling from video
Multimodal face and facial expression recognition
Applications of video face recognition
Applications of video facial expression recognition
Lecture Notes in Computer Science
The post-proceedings of FFER 2014 will be published by Springer as an LNCS volume.
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FFER 2014 is endorsed by International Association of Pattern Recognition (IAPR).