It is now quite common in the pel-recursive approaches for motion estimation, to find applications of the Kalman filtering technique both in time and frequency domains. In the blo...
V. Ruiz, Vassilis E. Fotopoulos, Athanassios N. Sk...
In this work we propose a model (in)validation approach to gait recognition, using a system that tries to discriminate specific activities of people. The recognition process depar...
Bayesian networks are an attractive modeling tool for human sensing, as they combine an intuitive graphical representation with ef?cient algorithms for inference and learning. Ear...
Tanzeem Choudhury, James M. Rehg, Vladimir Pavlovi...
Scale-space representation of an image is a significant way to generate features for classification. However, for a specific classification task, the entire scale-space may not be...
Location information gathered from a variety of sources in the form of sensor data, video streams, human observations, and so on, is often imprecise and uncertain and needs to be ...
Dmitri V. Kalashnikov, Yiming Ma, Sharad Mehrotra,...