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TOWARDS DETECTING PEOPLE CARRYING OBJECTS: A Periodicity Dependency Pattern Approach
Citation key 1236Senst2010
Author Tobias Senst and Rubén Heras Evangelio and Volker Eiselein and Michael Pätzold and Thomas Sikora
Title of Book International Conference on Computer Vision Theory and Applications (VISAPP)
Pages 524–529
Year 2010
Address Angers, France
Month may
Note ISBN:978-989-674-029-0
Editor INSTICC Press
Abstract Detecting 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.
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