We address the problem of automatic interpretation of nonexaggerated human facial and body behaviours captured in video. We illustrate our approach by three examples. (1) We intro...
This paper presents a method for finding and classifying objects within real-world scenes by using the activity of humans interacting with these objects to infer the object’s i...
Patrick Peursum, Svetha Venkatesh, Geoff A. W. Wes...
Most approaches to detection and classification of human activity deal with observing individual persons. However, people often tend to organize into groups to achieve certain goa...
Marko Jug, Janez Pers, Branko Dezman, Stanislav Ko...
The kinematics and force/displacement relationships of elements of biological joints are notoriously difficult to understand. In particular, the human knee has bearing surfaces o...
We develop a novel method for fitting high-resolution template meshes to detailed human body range scans with sparse 3D markers. We formulate an optimization problem in which the ...