conference paper


Conference/ProceedingsInternational Conference on Computer Vision Theory and Applications (VISAPP)
Start date17.05.2010
End date21.05.2010
AddressAngers, France
EditorINSTICC Press
Volume2010/2
Pages524-529
Author(s)Tobias Senst, Rubén Heras Evangelio, Volker Eiselein, Michael Pätzold, Thomas Sikora
TitleTOWARDS DETECTING PEOPLE CARRYING OBJECTS: A Periodicity Dependency Pattern Approach
AbstractDetecting people carrying objects is a commonly formulated problem which results can be used as a first step in order to monitor interactions between people and objects in computer vision applications. In this paper we propose a novel method for this task. By using gray-value information instead of the contours obtained by a segmentation process we build up a system that is robust against segmentation errors. Experimental results show the validity of the method.
Key wordsgait analysis, periodicity analysis, people carrying objects, scene interpretation, pattern recognition
NoteISBN:978-989-674-029-0
File1236Senst2010.pdf
URLhttp://dblp.uni-trier.de/db/conf/visapp/visapp2010-2.html#SenstEEPS10

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