Abstract. Despite the large success of games grounded on movement-based interactions the current state of full body motion capture technologies still prevents the exploitation of p...
—Reinforcement learning is the scheme for unsupervised learning in which robots are expected to acquire behavior skills through self-explorations based on reward signals. There a...
Hiroaki Arie, Tetsuya Ogata, Jun Tani, Shigeki Sug...
Abstract-- This paper addresses the problem of tracking extended objects, such as ships or a convoy of vehicles moving in urban environment. Two Monte Carlo techniques for extended...
Abstract. We describe progress in the automatic detection and identification of humans in video, given a minimal number of labelled faces as training data. This is an extremely cha...
A well-known challenge during processor design is to obtain best possible results for a typical target application domain by combining flexibility and computational performance. A...