Detecting people in images is key for several important application domains in computer vision. This paper presents an in-depth experimental study on pedestrian classification; mul...
The rapid growth of the Web has made it possible to build collaborative applications on an unprecedented scale. However, the request-reply interaction model of HTTP limits the rang...
This paper presents a method for monitoring activities at a ticket vending machine in a video-surveillance context. Rather than relying on the output of a tracking module, which i...
Background: This paper describes the design of an event ontology being developed for application in the machine understanding of infectious disease-related events reported in natu...
Ai Kawazoe, Hutchatai Chanlekha, Mika Shigematsu, ...
Current computational models of bottom-up and top-down components of attention are predictive of eye movements across a range of stimuli and of simple, fixed visual tasks (such a...