Evaluierung von Person Tracking Algorithmen auf Tiefendaten

Status: vergeben Supervisors: Rainer Planinc, Sebastian Zambanini Problemstellung Tiefendaten vereinfachen das Problem des Person Trackings in Videos durch eine deutlichere Unterscheidbarkeit von Vorder- und Hintergund der Szene. In den letzten Jahren wurden zahlreiche Methoden vorgestellt, die aber alle für bestimmte Szenarien gedacht sind und auch dahingehend evaluiert wurden. Es gibt jedoch eine Vielzahl von Parametern, … Continue reading Evaluierung von Person Tracking Algorithmen auf Tiefendaten

Mobile app to configure Wifi on embedded boards

Status: open Supervisor: Rainer Planinc Problem Statement Configuration of Wifi credentials for non-technical user is often quite challenging. Available devices on the market (e.g. WiFi extender, Google Chromecast, Amazon FireTV stick) often provide a configurable interface to connect them easily to existing WiFis. Goal The goal of this internship (Praktikum) is the development of an … Continue reading Mobile app to configure Wifi on embedded boards

Image Descriptor Learning for Matching Historical Aerial Images with Present-Day Satellite Images

Status: available Supervisor: Sebastian Zambanini Problem Statement Learning local image descriptors by means of deep convolutional neural nets [1,2] has recently shown to produce stronger features than traditional hand-crafted ones such as SIFT [3]. However, these nets have been trained and evaluated on general scenarios of (wide-basline) object matching. For the DeVisOr project, matching historical … Continue reading Image Descriptor Learning for Matching Historical Aerial Images with Present-Day Satellite Images

Fine Registration of Historical Aerial Images and Present-Day Satellite Images

Status: open Supervisor: Sebastian Zambanini Problem Statement In the DeVisOr project, historical aerial images are registered to modern satellite images for the purpose of geo-referencing. However, feature based registrations only deliver coarse registration that needs to be refined for improved accuracy. Goal The goal of this work is to investigate the application of fine registration … Continue reading Fine Registration of Historical Aerial Images and Present-Day Satellite Images