4 Contributo in Atti di Convegno (Proceeding)

4 Contributo in Atti di Convegno (Proceeding): [569] Home page macrotipologia

Sfoglia

Prodotti recenti

Gli “alunni impossibili” a rischio di espulsione. Rappresentazioni dei docenti e sfide educative per l’Apprendere ad Apprendere in uno studio qualitativo internazionale

Il primo capitolo esplora le rappresentazioni dei docenti e le strategie per coinvolgere studenti considerati “casi impossibili”, evidenziando la scarsa presenza di interventi mirati e la necessità di formazione specifica

A Data Compression Module for the SUNSET Platform

In the last two decades, visual data acquisition in underwater environments has dramatically increased due to the need to face a wide range of challenges that still require further research, including site monitoring, seabed anomaly detection, object detection and classification, and many others. Most of these activities require frequent data acquisition and processing over time, even at different altitudes, view angles, and perspectives. Recent improvements of small-scale Autonomous Underwat...

Visual Cryptography for Detecting Hidden Targets by Small-Scale Robots

The last few years have seen a growing use of robots to replace humans in dangerous activities, such as inspections, border control, and military operations. In some application areas, as the latter, there is the need to hide strategic information, such as acquired data or relevant positions. This paper presents a vision based system to find encrypted targets in unknown environments by using small-scale robots and visual cryptography. The robots acquire a scene by a standard RGB camera and us...

A Rover-based System for Searching Encrypted Targets in Unknown Environments

In the last decade, there has been a widespread use of autonomous robots in several application fields, such as border controls, precision agriculture, and military operations. Usually, in the latter, there is the need to encrypt the acquired data, or to mark as relevant some positions or areas. In this paper, we present a client-server rover-based system able to search encrypted targets within an unknown environment. The system uses a rover to explore an unknown environment through a Simulta...

Hand Gesture Recognition Exploiting Handcrafted Features and LSTM

Hand gesture recognition finds application in several heterogeneous fields, such as Human-Computer Interaction, serious games, sign language interpretation, and more. Modern recognition approaches use Deep Learning methods due to their ability in extracting features without human intervention. The drawback of this approach is the need for huge datasets which, depending on the task, are not always available. In some cases, handcrafted features increase the capability of a model in achieving th...

Scopri

Accesso al fulltext

no fulltext569