| Conference/Proceedings | International Conference on Computer Vision Theory and Applications (VISAPP) |
| Start date | 17.05.2010 |
| End date | 21.05.2010 |
| Address | Angers, France |
| Editor | INSTICC Press |
| Volume | 2010/2 |
| Pages | 524-529 |
| Author(s) | Tobias Senst, Rubén Heras Evangelio, Volker Eiselein, Michael Pätzold, Thomas Sikora |
| Title | TOWARDS DETECTING PEOPLE CARRYING OBJECTS: A Periodicity Dependency Pattern Approach |
| 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. |
| Key words | multimedia application, multimedia analysis, gait analysis, periodicity analysis, people carrying objects, scene interpretation, pattern recognition |
| Note | ISBN:978-989-674-029-0 |
| File | 1236Senst2010.pdf |
| URL | http://dblp.uni-trier.de/db/conf/visapp/visapp2010-2.html#SenstEEPS10 |