Segmentation and tracking methods have been widely explore. However, they are often computationally heavy or require constraining assumptions. We present in this paper a new syste...
Joanna I. Olszewska, Christophe De Vleeschouwer, B...
This paper presents a distributed middleware architecture based on a service-oriented approach, to manage high volume sensor events. Event management takes a multi-step operation f...
Robustly tracking moving objects in video sequences is one of the key problems in computer vision. In this paper we introduce a computationally efficient nonlinear kernel learning...
Chunhua Shen, Anton van den Hengel, Michael J. Bro...
This paper considers the problem of monocular human body tracking using learned models. We propose to learn the joint probability distribution of appearance and body pose using a m...
Tobias Jaeggli, Esther Koller-Meier, Luc J. Van Go...
This paper studies image alignment, the problem of learning a shape and appearance model from labeled data and efficiently fitting the model to a non-rigid object with large varia...
Xiaoming Liu 0002, Ting Yu, Thomas Sebastian, Pete...