Fraunhofer-Institut für Produktionsanlagen und Konstruktionstechnik IPK

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  • Publication
    Verbundprojekt: ADIS
    (Fraunhofer IPK, 2014)
    Menevidis, Zaharya
    ;
    Ajami, Mohamad
  • Publication
    Automatic detection of situations for intervention using 3D image reconstruction and template matching
    ( 2014)
    Ajami, Mohamad
    ;
    Menevidis, Zaharya
    ;
    Gerson, Christian
    Due to the public transportation companies' need to ensure the safety and security of the passengers, the recent years have witnessed a substantial increase in the number of surveillance cameras installed in these stations. Regarding to this increasing number, the companies automatically face the problem that human operators have some difficulties thoroughly monitoring all cameras' outputs meticulously. In this paper, we will present a system that will monitor a selected zone in a public station and will serve solely as an assisting component for the surveillance system operator who will take the final appropriate measures for intervention. The system will be analysing the scenes in real time by reconstructing the foreground objects in 3D space and using a series of image processing methods to detect a predefined ""Situation in Need of Intervention"" (SNI). This paper will describe three main SNIs (falling/lying on the ground, act of human aggression and unattended objects) and will show the methodology that was used to classify a scene under these three SNIs.
  • Publication
    Vision based fire detection using colour variance
    ( 2013)
    Ajami, Mohamad
    ;
    Menevidis, Zaharya
    In recent years, there have been a variety of attempts in research and industry to solve various problems by using the non-contact detection and interpretation possibilities of computer vision, as one image offers the floor to analyse different causes and sources in parallel. It is logical to apply an integrated approach via image and video not only to venture into new and innovative fields, but also to optimize and improve existing solutions with other sensors and to solve contemporary problems. In this paper, we will deal with the integrated approach for optimizing and improving fire detection. The detection path is going to be solely based on the colour features of household fires in addition to a colour independent feature of fire that owes to enhance the detection result. The end goal is to achieve real time fire detection and obtain a low false positive rate.