Color-based object recognition by a Grid-connected robot dog

Multimedia data is rapidly gaining importance along with recent
developments such as the increasing deployment of surveillance cameras
in public locations. In a few years time, analyzing the content of
multimedia data will be a problem of phenomenal proportions, as digital
video may produce data at rates beyond 100 Mb/s, and multimedia
archives steadily run into Petabytes of storage space. Consequently,
for urgent problems in multimedia content analysis, Grid computing is
rapidly becoming indispensable. In this video demonstration we show
the viability of widearea Grid systems in adhering to the heavy demands
of a realtime object recognition task. Specifically, we show a Sony
Aibo robot dog, capable of recognizing objects from a set of learned
objects, while connected to a Grid system comprising of cluster
computers located in Europe, the United States, and Australia. As such,
we demonstrate the effective integration of state-of-the-art results
from two largely distinct research fields: multimedia content analysis
and Grid computing. See also:
http://www.science.uva.nl/~fjseins/aibo.html.