Status: available Supervisor: Manuel Keglevic Why? Law enforcement agencies possess an extensive collection of handwritten documents. This includes for example documents belonging to open cases, for example death threats, and reference samples from suspects and prisoners. Yet, these collections of documents can only be utilized to a limited extend, since for an identification of an … Continue reading Deep Learning-based Forensic Writer Retrieval/Document Segmentation →

Supervisor: Florian Kleber, Simon Brenner Start: as soon as possible Problem Statement Historical maps contain a lot of information like land boundarys or outlines of buildings. To show the development of citys and different regions it is necessary to extract this information from historical maps. Within this work the main goal will be detect the … Continue reading Segmentation of houses in historical Maps →

Status: available Supervisor: Daniel Helm, Martin Kampel Start: as soon as possible Problem Statement Automatic scene analysis is a crucial task for historians or film archivists in order to preserve and interpret the memories of human cultural history. Film archives include thousands of hours of digitized analog footage from the last 100 years up to … Continue reading Relation Detection: Image Similarity Measurement in Large Historical Archives →

Status: available Supervisor: Daniel Helm, Martin Kampel Start: as soon as possible Problem Statement Automatic video analysis in large historical film collections is a challenging task due to different aspects. One major challenge is related to the quality of historical films, e.g. over-, underexposures and blur. Furthermore, they include scratches, cracks or press cuts and … Continue reading Historical Image Restoration: Deep learning-based versus traditional-based deformation strategies →

Status: available Supervisor: Daniel Helm, Martin Kampel Start: as soon as possible Problem Statement Automatic video content analysis is needed in many different domains such as historical film preservation or film archiving. Due to the enormous quantity of available visual media data, automatic approaches shall be used in order to find specific content in videos … Continue reading Camera Pose Estimation for Video Shot Analysis →

Status: open Supervisor: Robert Sablatnig Problem Statement Detecting and tracking moving objects is a challenging task, since the objects’ optical signature is less discriminative due to occurring motion artifacts, occlusions in the wild and dynamic backgrounds. Goal The goal of this practical training project is to explore and examine methods that can be used to … Continue reading Automatic Ball Detection in Soccer, Golf and Tennis Games →

Status: open Supervisor: Sebastian Zambanini Problem Statement Detecting and classifying objects in remote sensing images is a challenging task, since the objects’ optical signature is less discriminative  due to the small resolution. Common object detection methods in this area aim to find object locations by classifying local structures, while neglecting the larger surroundings of the … Continue reading Exploiting Context in Remote Sensing Object Detection →

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 →

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 →

Supervision Georg Langs, Yason Yee, Karl-Heinz Nenning The Institute of Animal Welfare Science at the University of Veterinary Medicine Vienna (Vetmeduni) is currently offering a short-term research opportunity for motivated students. The candidate should be motivated to learn computational methods for the analysis of magnetic resonance imaging (MRI) data of the brain in pigs. Project … Continue reading Neuroimaging in Pigs →