Abstract. A successful approach to tracking is to on-line learn discriminative classifiers for the target objects. Although these trackingby-detection approaches are usually fast a...
Christian Leistner, Martin Godec, Amir Saffari, Ho...
In this paper the capability of using self-organising neural maps (SOM) as music style classifiers of musical fragments is studied. From MIDI files, the monophonic melody track i...
Abstract. This paper presents a new algorithm for structure from motion from an arbitrary number of tracked features over an arbitrary number of images, which possesses several adv...
Philip F. McLauchlan, Ian D. Reid, David W. Murray
We have developed a near-real-time computer system which can locate and track a subject's head, and then recognize the person by comparing characteristics of the face to thos...
Abstract. We describe a visual communication application for a dark, theaterlike interactive virtual simulation training environment. Our system visually estimates and tracks the b...