This paper describes our experience in designing, developing and deploying systems for
supporting human–robot teams during disaster response. It is based on R&D performed in …

Structural information is an essential component for efficient object detection. In many visual
detection tasks, the objects with large structural deformation usually make up a large …

In this paper a method is proposed for detection and localisation of objects in images using
connected operators. Existing methods typically use a moving window to detect objects …

Most of the bomb blast was done with the help of abandoned objects, so effective and
efficient detection and Real time localization of abandoned objects is very important to …

Deformable object models capture variations in an object's appearance that can be
represented as image deformations. Other effects such as out-of-plane rotations, three …

We present an efficient subpixel refinement method using a learning-based approach called
Linear Predictors. Firstly, we present a novel technique, called Symbolic Linear Predictors …

SOMMARIO I disastri naturali, quali terremoti, alluvioni, dissesti idrogeologici e eruzioni
vulcaniche che si verificano con crescente frequenza in ogni parte del mondo, così come gli …

The thesis is focused on fast visual object tracking and detection methods. We use the linear
regression to learn a predictor, which forms a mapping from the image data directly to the …