@INPROCEEDINGS{1236Senst2010,
	AUTHOR = {Tobias Senst and Rubén Heras Evangelio and Volker Eiselein and Michael Pätzold and Thomas Sikora},
	TITLE = {TOWARDS DETECTING PEOPLE CARRYING OBJECTS: A Periodicity Dependency Pattern Approach},
	BOOKTITLE = {International Conference on Computer Vision Theory and Applications (VISAPP)},
	YEAR = {2010},
	MONTH = may,
	EDITOR = {INSTICC Press},
	PAGES = {524--529},
	ADDRESS = {Angers, France},
	NOTE = {ISBN:978-989-674-029-0},
	PDF = {http://elvera.nue.tu-berlin.de/files/1236Senst2010.pdf},
	URL = {http://elvera.nue.tu-berlin.de/files/1236Senst2010.pdf},
	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.}
}