Teaching

Work place ergonomics: pose estimation by 3D sensing

Problem statement Work place ergonomics is the key factor of a healthy work place. Paying attention to ergonomic standards cannot only prevent back pain or postural deformity, but also vision problems and tensions. The existing 3D sensor fearless detects and tracks the position of an employee during the work and offers possibilities for improving the … Continue reading Work place ergonomics: pose estimation by 3D sensing

Allgemeine Hinweise zu Bachelorarbeiten und Praktikas

Zeugnis 183.583 9.0/6.0 PR WS/SS: Praktikum aus Visual Computing oder 183.582 10.0/5.0 PR WS/SS: Bachelorarbeit für Informatik und Wirtschaftsinformatik Inhalt Lösung vorwiegend praktischer Aufgaben der Informatik unter Einsetzung wissenschaftlicher Methoden. Hierzu gehört insbesondere die Methodenauswahl und die Diskussion von Lösungsansätzen, die im Rahmen des Praktikums dokumentiert werden sollen. Weiters dienen die Praktika der Vorbereitung einer … Continue reading Allgemeine Hinweise zu Bachelorarbeiten und Praktikas

Bee polls recognition and quantity estimation

Status: about to be finishedSupervisor: Martin Kampel Start: as soon as possible Problem Statement In the project MIC-Cam a system for the automated detection of mites was developed. It monitors the bees by camera when departing and landing at the flight board of the bee hive to recognise attached mites in real time without restricting the … Continue reading Bee polls recognition and quantity estimation

Bee data recording from a bee hive in Banja Luka

Problem Statement & Goal We developed a prototype for recording bees when entering the bee hive. The images are used to analyse bee images in various ways: mite detection, pollen quantity estimation, bee counting, … In this practicum we want to record new bee data in bee hives from our partner in Banja Luka. The … Continue reading Bee data recording from a bee hive in Banja Luka

Shadow Removal in Satellite Images

Status: taken Supervisor: Sebastian Zambanini Problem Statement Shadows cast in remote sensing images complicate their analysis due to the low contrast in the poorly illuminated image regions. Shadow removal/compensation methods aim at automatically reducing shadow effects, either by a physical or learning-based  model. Goal The goal of this work is to explore and examine methods … Continue reading Shadow Removal in Satellite Images

Deep Learning Object Detection in Satellite Video

Status: available Supervisor: Roman Pflugfelder Problem Statement Object detection, i.e. the recognition and localization of objects, is very important in aerial imaging and remote sensing. Demanding applications can be found such as urban planning for smart cities, environment monitoring to reduce traffic and pollution. Object detection in aerial and satellite data is still challenging due to … Continue reading Deep Learning Object Detection in Satellite Video

3D Vision (VO)

Termin: DI 15:00 – 17:00, DO 12:00-14:00, FR 12:00 – 14:00 Ort: FAV Hörsaal 1 (Favoritenstr. 9-11, Erdgeschoß Raumnummer: HEEG02) Curricula: 066 453 Biomedical Engineering 066 504 Masterstudium Embedded Systems 066 506 Energie- und Automatisierungstechnik 066 932 Visual Computing 066 935 Media and Human-Centered Computing 407 UF Darstellende Geometrie Ziel der Lehrveranstaltung ist es, Einblicke über die … Continue reading 3D Vision (VO)