Emergency response operations are critical for ensuring public safety during disasters and emergencies. First responders (FRs) , including firefighters, paramedics, and police officers, are on the front lines of emergency situations, where they often face immense risks to their health and safety. The iMARS project is designed to address the significant challenges FRs encounter by … Continue reading iMARS
Research on URBan road traffic In challenging environments – With the advancement of autonomous driving technology, the integration of autonomous vehicles into everyday life is becoming increasingly prevalent. To ensure the proper functioning of autonomous vehicles, it is necessary to equip them with various sensors that can perceive the surrounding environment and transmit the gathered … Continue reading URBIS
UNIversal Single camera-based 3D sensing for COmprehensive human PErception – The aim of the UNISCOPE-3D project is to develop highly innovative software algorithms that enable robust and precise three-dimensional analysis of the human body with a single camera. This comprehensive analysis of the human body from individual camera images is essential for a wide range … Continue reading UNISCOPE-3D
The doctoral program ‘PLFDoc – Precision Livestock Farming’ (PLFDoc) is a collaborative project involving the TU Wien, the University of Applied Sciences Upper Austria, and the University of Veterinary Medicine Vienna (coordinator). This interdisciplinary training program offers five PhD candidates the opportunity to work as a team to contribute to a more sustainable agriculture with … Continue reading PLFDoc – Precision Livestock Farming
The aim of this project is to develop an innovative system that has the ability to recognize the emotional states and body language of the occupants of a vehicle. Through the use of modern technologies such as computer vision and machine learning, the vehicle is supposed to understand the emotions, moods, and needs of the … Continue reading Empathic Vehicle
Mobile Artificial Intelligence Justice Assistant In the preceding research project DIGDOK, digitalization potentials of analog, inmate-focused documentation processes were explored. Following the project results, the project MAIJA focuses on researching a mobile digital assistant, the “Mobile Artificial Intelligence Justice Assistant (MAIJA).” The existing data is analyzed in terms of Prison Intelligence to generate new insights. … Continue reading MAIJA
Aim: PhD Proram Visual Heritage The possibilities for preserving our cultural heritage have made enormous progress through digital technologies. Visual media such as historical photographs and amateur films are important components of the media collections created by digitization. To capture the contents of these collections and gain new insights, it takes methods that combine efficient automated data analysis with … Continue reading Visual Analytics and Computer Vision Meet Cultural Heritage
Multimodal Sensor Technology for Human Behavior Classification Human Behavior Classification (HBC) has attracted considerable interest due to its ability to facilitate automation in various application areas, including but not limited to smart homes, active assisted living, and security. At present, optical modalities such as RGB, depth, and thermal imaging are prevalent in the field due … Continue reading Blindsight
TMFD Dataset addresses the lack of available depth and thermal face detection benchmarks. The corresponding depth and thermal data frames accompany each RGB image in the dataset. The dataset encompasses a wide range of variations. The samples include different numbers of people in the scene, different individuals, various types of backgrounds, varying distances of measurement, … Continue reading TriModal Face Detection Dataset – TMFD Dataset
Description Developing automated tools for sustainable film preservation of extensive historical film collections assumes an understanding of fundamental cinematographic settings. In order to be able to investigate new approaches to detect and classify cinematographic settings, this paper proposes a novel large-scale historical film dataset with cinematographic annotations (HISTORIAN), i.e., shot boundaries, shot types, camera movements. … Continue reading HISTORIAN: a large-scale HISTORIcal film dataset with cinematographic ANnotation