Human Centered Computing
Human Centered Computing has very many application areas in, e.g.,:
-Human-Computer Interfaces and Human-Robot Interfaces
-Social Media Analytics
This CVML Web Module focuses on Human Centered Computing theory, methodologies and its applications in the above-mentioned diverse domains towards facing new challenges ahead. The first lecture is an Introduction to Human Centered Computing. Face Detection is a very important task, typically the first in any Human Centered Computing application. Crowd Detection and Analysis is important in certain application areas, notably in surveillance. Face Recognition is an important topics in biometrics. Face Clustering is very useful both in biometrics and in media analytics. As Privacy Protection is a must in web applications and beyond, Face De-identification can cater such needs. Facial Feature Detection can be used both in Visual Speech Recognition and Facial Expression Recognition. Visual Speech Recognition can be used for lip reading and as an aid to speech recognition. Facial Expression Recognition is a prime topic in Affective Computing. Human Action Recognition and Gesture Recognition are essential in Human-Computer Interfaces and Human-Robot Interfaces. Soccer Video Analysis and Athlete Motion Analysis are very useful in analyzing sports videos.