We present methods for learning and tracking human motion in video. We estimate a statistical model of typical activities from a large set of 3D periodic human motion data by segm...
Dirk Ormoneit, Hedvig Sidenbladh, Michael J. Black...
Variation in object shape is an important visual cue for deformable object recognition and classification. In this paper, we present an approach to model gradual changes in the ?-...
In this paper, we propose a novel method for the automatic segmentation of a foreground layer from a natural scene in real time by fusing infrared, color and edge information. Thi...
Abstract. This paper presents a method for tracking multiple skincolored objects in images acquired by a possibly moving camera. The proposed method encompasses a collection of tec...
Hazard detection and prevention of natural and manmade disasters at critical civil infrastructure is becoming increasingly important. Recent events, such as earthquakes and terror...
Maria-Cruz Villa-Uriol, Falko Kuester, Oscar Garc&...