Automated Detection of Equine Facial Action Units

Understand

The recently developed Equine Facial Action Coding System (EquiFACS) provides a precise and exhaustive, but laborious, manual labelling method of facial action units of the horse.

• To automate parts of this process, we propose a Deep Learning-based method to detect EquiFACS units automatically from images.
• We use a cascade framework; we firstly train several object detectors to detect the predefined Region-of-Interest (ROI), and secondly apply binary classifiers for each action unit in related regions.
• We experiment with both regular CNNs and a more tailored model transferred from human facial action unit recognition.