Ádám Erdélyi

Ádám Erdélyi
Alpen-Adria-Universität Klagenfurt · Institute of Networked and Embedded Systems

M.Sc.

About

6
Publications
591
Reads
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153
Citations
Introduction
Ádám Erdélyi received his "MSc in Computing" degree in 2009 at the Coventry University and finished his studies in January 2012 when got his "MSc in Technical Informatics" diploma at the University of Szeged. He used to be an executive member of the IEEE Student Branch Klagenfurt as chairman in 2015. Currently, he is a PhD Student at the Alpen-Adria Universität Klagenfurt and works at a company called KiwiSecurity as Delivery Lead.
Additional affiliations
November 2012 - July 2015
Alpen-Adria-Universität Klagenfurt
Position
  • Researcher
September 2007 - October 2012
University of Szeged
Position
  • Research Assistant
Description
  • Computer Architectures, Assembly programming, Electronics, Digital Technology, Robotics, Webdesign, Programing Basics, System Development
Education
November 2012 - December 2017
Alpen-Adria-Universität Klagenfurt
Field of study
  • Privacy-preserving visual sensor networks
February 2012 - September 2012
University of Szeged
Field of study
  • Development of software based instruments for interdisciplinary research (WSNs, DAQ tools)
September 2008 - November 2009
Coventry University
Field of study
  • Computer Science

Publications

Publications (6)
Article
Full-text available
Ubiquitous and networked sensors impose a huge challenge for privacy protection which has become an emerging problem of modern society. Protecting the privacy of visual data is particularly important due to the omnipresence of cameras, and various protection mechanisms for captured images and videos have been proposed. This paper introduces an obje...
Conference Paper
Our solution to the MediaEval 2014 Visual Privacy Task is a privacy-preserving video filter that is able to maintain a high intelligibility level in surveillance systems while providing a reasonable privacy protection level to monitored people and a pleasant view to observers. This paper describes our context-aware method that is based on cartoonin...
Conference Paper
Full-text available
Visual privacy in video-based applications such as surveillance, assisted living or home monitoring is a highly active research topic. It is critical to protect the privacy of monitored people without severely limiting the utility of the system. We present a resource-aware cartooning privacy protection filter which converts raw images into abstract...
Conference Paper
Images captured in camera networks are potentially privacy sensitive and therefore need protection. A critical aspect is where protection is applied – after transmission at the data center or preferably already on the camera. In this work we take on-camera protection a step further and propose to make privacy protection and security inherent featur...
Conference Paper
This paper presents our solution to the 2013 MediaEval Visual Privacy Task [3]. We apply cartoon-like effects to captured video such that identities of persons are protected while behavioural information and hence system intelligibility are maintained. We present our processing pipeline which includes additional protection steps such as re-colourin...
Conference Paper
Full-text available
Fluctuation enhanced sensing (FES) is a promising method to improve information extraction from noisy sensor signal especially in the rapidly growing field of semiconductor and nanotechnology gas sensors. Some attempts were made to support the application of the principle in low power, battery powered devices and partial results are available. In t...

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