This paper presents an analysis of the design of classifiers for use in a hierarchical object recognition approach. In this approach, a cascade of classifiers is arranged in a tr...
Bjoern Stenger, Arasanathan Thayananthan, Philip H...
In this paper we apply state-of-the-art approach to object detection and localisation by incorporating local descriptors and their spatial configuration into a generative probabil...
Joni-Kristian Kamarainen, Miroslav Hamouz, Josef K...
Abstract. The use of sparse invariant features to recognise classes of actions or objects has become common in the literature. However, features are often "engineered" to...
In this paper, we propose a forward spotting scheme that executes gesture segmentation and recognition simultaneously by detecting start point. By using competitive differential o...
Extracting object boundaries in thermal images is a challenging task because of the amorphous nature of the images and the lack of sharp boundaries. Classical edge-based segmentat...