We have proposed a novel model-based compression technique for nonstationary landmark shape data extracted from video sequences. The main goal is to develop a technique for the co...
We present a novel approach for full body pose tracking using stochastic sampling. A volumetric reconstruction of a person is extracted from silhouettes in multiple video images. ...
We consider the problem of unsupervised classification of temporal sequences of facial expressions in video. This problem arises in the design of an adaptive visual agent, which m...
—In this paper, we present a design architecture of implementing a ”Vector Bank” into video encoder system, namely, an H.264 encoder, in order to detect and analyze the movin...
Abstract. In this paper we present an agent that can analyse certain human fullbody movements in order to respond in an expressive manner with copying behaviour. Our work focuses o...