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.