Research

miniSPOT.net

State-of-the-Art video surveillance systems are based on analogue technologies. Recently, a trend towards IP based monitoring and recording systems can be identified. These systems allow the archiving and the analysis of the video material where the problem of huge amounts of data arises. Therefore, big command and control centers only need the visual information in … Continue reading miniSPOT.net

iObserveNG

The goal of this project is to develop a highly intelligent, next-generation video-based surveillance system. A service-oriented architecture as infrastructural basis of a scalable video surveillance system will be implemented. Services are self-contained and can be used independently. Every service owns a public interface, which can be used by the subscribers within a network. Two … Continue reading iObserveNG

tripleB ID – Identifikation von Bedrohungsszenarien in Banken durch Bildanalyse

An increase in visual surveillance systems together with an increased inquiry for security and efficiency leads to the need of efficient systems which are able to process and interpret video data automatically. Based on developments in the area of machine vision, pattern recognition and visual sensors this project deals with the development of a system … Continue reading tripleB ID – Identifikation von Bedrohungsszenarien in Banken durch Bildanalyse

RHEA

The goal of the EU project “Robot Fleets for Highly Effective Crop Management in Miditerranean Agriculture (RHEA)” is to develop a system for the precise and automatic management of agricultural land by using a fleet of autonomous land and air vehicles. This includes the development of new computer vision algorithms for crop evaluation and weed … Continue reading RHEA

OMOR

The goal of the project is to develop robust and efficient techniques for the recognition and localisation of objects in images and video sequences. This goal can be subdivided into the following aims: Improve the use colour information in object recognition — for example, illumination changes an shadows should be taken into account in the … Continue reading OMOR

Privicy

The goal of Privicy is the development of a surveillance system which automatically respects the privacy of people involved. The contribution of CVL is twofold: a scientific background to the problem and a closer look on robust tracking algorithms. The development includes the following steps: Research on State-of-the-Art people tracker and anonymizing algorithms Evaluation of … Continue reading Privicy

Scannen von Vasen

Im laufenden Projekt des Instituts für Kulturgeschichte der Antike der Österreichischen Akademie der Wissenschaften „Zyprische Eisenzeit aus dem Kunsthistorischen Museum Wien“ wird das Scannen der 145 Objekte durch die finanzielle Unterstützung der Kulturabteilung der Stadt Wien ermöglicht. Projekt Details Finanzierung: Kulturabteilung der Stadt Wien Kooperationspartner: Institut für Kulturgeschichte der Antike

emoCam

Events that made my day – creating a visual diary … or the “emotional camera” project   This project aims at developing techniques and algorithms to be used with a wearable “always-on” camera, which will automatically identify and select the best frames representing the personal “highlights” of the day. “Always-on” wearable cameras are already on … Continue reading emoCam

Computer Aided Classification of Ceramics

This project named Computer Aided Classification of Ceramics is performed in cooperation with the Institute of Classical Archaeology of the University of Vienna in order to automate the documentation process of archaeological sherds. The project is parsupported by the Austrian Science Fund (Fonds zur Förderung der wissenschaftlichen Forschung (FWF)) under Project P13385-INF. The project started … Continue reading Computer Aided Classification of Ceramics