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
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
Date: MO, 10:00 – 12:00 Place: FAV 01 A Content This seminar provides a forum for discussion of the work of doctoral students and the opportunity to exchange ideas and news among students. Dated and Organization Usually on Monday from 10:15 to 12:00, held in FAV 01 A Dates in Summer Term 2020: Mar 30, … Continue reading Dissertantenseminar (SE)
Termin: MO, 10:15 – 12:00 Ort: Sem. FAV 01 A Inhalt Dieses Seminar bietet ein Forum zur Diskussion der Arbeit von DiplomandInnen und die Möglichkeit zum Austausch von Ideen und Neuigkeiten unter den Studierenden. Termin und Organisation Alternierend MO von 10:15 – 12:00, im Sem FAV 01 A Termine im SS 2020 23.03.2020 27.04.2020 18.05.2020 … Continue reading Computer Vision Seminar für DiplomandInnen (SE)
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
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
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
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
When: Summer term 2020 Where: schedule Course description This lecture covers Deep Learning for automatic image and video analysis, such as classifying images into categories or detecting and distinguishing persons. Deep Learning has lead to breakthroughs in these fields; in certain problems, the performance of current methods based on this technology is similar or even better … Continue reading Deep Learning for Visual Computing
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)