TOWARDS DETECTING PEOPLE CARRYING OBJECTS - A Periodicity Dependency Pattern Approach
Tobias Senst, Rubén Heras Evangelio, Volker Eiselein, Michael Pätzold, Thomas Sikora · 2010
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.