Suchergebnisse: 1
In activity recognition, the goal is to automatically infer activities or actions of human subjects from observations. Observations can include visual information such as images or videos, acceleration sensors worn by a subject, sensors that detect the interaction with objects, or other indirect measurements from which activities can be reconstructed. State-of-the-art activity recognition approaches are usually based on machine learning, where a model is learned from data to recognize specific activities. In this seminar, students will present and discuss different approaches to carry out activity and action recognition based on machine learning.
Kursbereich: Informatik