Keymaker: Activity Recognition Based on Contextual Information


Keymaker addressed the research of new algorithms for the recognition of human activities via the extraction of information such as the importance of objects in the execution of the activity and the understanding of the interaction of individuals with objects present in the scene.

Although the project initially aimed to create computer vision methods for activity recognition, in the end, it focused on the study of gaze estimation, i.e. the estimation of where the subject is looking, and the implementation of a state-of-the-art method for it.