Sparse features have traditionally been tracked from frame to frame independently of one another. We propose a framework in which features are tracked jointly. Combining ideas fro...
The ability to detect and recognize individuals is essential for an autonomous robot interacting with humans even if computational resources are usually rather limited. In general ...
Michael Grabner, Helmut Grabner, Joachim Pehserl, ...
We present as a contribution to the field of human-machine interaction a system that analyzes human movements online, based on the concept of Laban Movement Analysis (LMA). The im...
ic Presentations - Abstracts list Monday, August 31st Session 1 – Chairman: Jean-Marc Odobez Title Quality Measures and Stacking Classifiers in Multimodal Biometric Recognition S...
Classification fusion combines multiple classifications of data into a single classification solution of greater accuracy. Feature extraction aims to reduce the computational cost ...
Behrouz Minaei-Bidgoli, Gerd Kortemeyer, William F...