de.mpg.escidoc.pubman.appbase.FacesBean
Deutsch
 
Hilfe Wegweiser Impressum Kontakt Einloggen
  DetailsucheBrowse

Datensatz

DATENSATZ AKTIONENEXPORT

Freigegeben

Konferenzbeitrag

Towards a model for estimating image difficulty in x-ray screening.

MPG-Autoren
http://pubman.mpdl.mpg.de/cone/persons/resource/persons84420

Schwaninger,  A
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;

Externe Ressourcen
Es sind keine Externen Ressourcen verfügbar
Volltexte (frei zugänglich)
Es sind keine frei zugänglichen Volltexte verfügbar
Ergänzendes Material (frei zugänglich)
Es sind keine frei zugänglichen Ergänzenden Materialien verfügbar
Zitation

Schwaninger, A., Michel, S., & Bolfing, A. (2005). Towards a model for estimating image difficulty in x-ray screening. Proceedings of the 39th Annual International Carnahan Conference on Security Technology (CCST‘05), 185-188.


Zitierlink: http://hdl.handle.net/11858/00-001M-0000-0013-D403-2
Zusammenfassung
In this study we developed a first computational model for estimating image difficulty of x-ray images of passenger bags. Based on [1] three image-based factors are proposed as predictors of image difficulty: view difficulty of the threat item, superposition by other objects, and bag complexity (i.e. clutter and transparency of the bag). First, these factors were validated using detection experiments. We then developed computer-based algorithms to estimate the image-based factors automatically. Finally, we could show that our computational model can better explain human performance than human ratings of the imagebased factors.