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 →

Status: available Supervisor: Roman Pflugfelder There is the opportunity for a payment by Problem Statement Cell detection and cell tracking are important tasks in bioimaging. Bioimaging is currently radically transforming microbiology as terabytes of image data of modern microscopy needs an automatic or semi-automatic approach to efficient experimentation. With the advent of a new revolutionary gene … Continue reading Detection, Segmentation and Tracking of Cells →

Status: available Supervisor: Robert Sablatnig and Roman Pflugfelder Problem Statement Visual tracking has been tackled conceptually in terms of the underlying subproblems of visual description and correspondence of objects rather independent of the camera. However, visual tracking has less been seen technically in terms of available sensors and computational resources. Modern sensors have remarkable abilities e.g. CMOS windowing, … Continue reading Object Tracking with Non-Traditional Cameras →

Status: available Supervisor: Roman Pflugfelder Problem Statement Visual tracking is a foundational building block in almost every application from cell tracking in bioimaging, to object perception in robotic systems, to localisation in user-centric computing. Visual tracking is fascinating as it is unsolved, it is hard as it combines several difficult problems such as visual representation, adaptation … Continue reading Deep Visual Tracking →

Status: available Supervisor: Roman Pflugfelder Problem Statement Visual person detection is a foundational building block in almost every application from pedestrian detection in surveillance and autonomous driving, to person perception in robotic systems, to human localisation in user-centric computing. Person or pedestrian detection has made a significant leap in the last years, by re-discovering the … Continue reading Person Detection and Data Diversity →

Status: available Supervisor: Roman Pflugfelder Problem Statement The robust detection of specific objects such as buildings, ships and road networks has been an important challenge in remote sensing and satellite image processing. Since 2014, a new generation of satellites allow to extend the number of object categories to smaller objects such as vehicles, aircraft and many … Continue reading Vehicle Detection in Satellite Videos →