— This work adds the concept of object to an existent low-level attention system of the humanoid robot iCub. The objects are defined as clusters of SIFT visual features. When th...
Dario Figueira, Manuel Lopes, Rodrigo M. M. Ventur...
In this paper, we present a novel approach for human action recognition with histograms of 3D joint locations (HOJ3D) as a compact representation of postures. We extract the 3D sk...
Real-time embedded systems are time-critical systems that are hard to implement as compared to traditional commercial software, due to the large number of conflicting requirements...
In this work we present a novel multi-modal mixed-state dynamic Bayesian network (DBN) for robust meeting event classification. The model uses information from lapel microphones,...
This paper discusses the development of a computational modeling and analysis toolkit to construct, animate, and biomechanically analyze sophisticated models of vertebrates. Users...