Bayesian statistical theory is a convenient way of taking a priori information into consideration when inference is made from images. In Bayesian image detection, the a priori dist...
A computer vision system for tracking multiple people in relatively unconstrained environments is described. Trackerformed at three levels of abstraction: regions, people and grou...
Stephen J. McKenna, Sumer Jabri, Zoran Duric, Harr...
This paper describes non-ideal properties of batteries and how these properties may impact power-performance trade-offs in wearable computing. The first part of the paper details ...
This paper describes experiments in human motion understanding, defined here as estimation of the physical state of the body (the Plant) combined with interpretation of that part ...
List-based priority schedulers have long been one of the dominant classes of static scheduling algorithms. Such heuristics have been predominantly based around the "critical ...