DocumentCode :
457334
Title :
Real-time Object Recognition using Relational Dependency based on Graphical Model
Author :
Yun, Woo-han ; Bang, Sung Yang ; Kim, Daijin
Author_Institution :
Intelligent Robot Res. Div., Electron. & Telecommun. Res. Inst., Daejeon
Volume :
3
fYear :
0
fDate :
0-0 0
Firstpage :
28
Lastpage :
32
Abstract :
When we recognize the objects, it is effective to use the relational dependency that several different objects co-exist each other. This paper proposes a real-time object recognition using the relational dependency among the objects that is represented by the graphical model. Experiment results validate that the proposed method is a fast and effective way of recognizing the objects in terms of high recognition rate and low false alarm rate
Keywords :
graph theory; object recognition; graphical model; real-time object recognition; relational dependency; Computer science; Detectors; Graphical models; Human robot interaction; Intelligent robots; Logistics; Object detection; Object recognition; Pattern recognition; Phase detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2006. ICPR 2006. 18th International Conference on
Conference_Location :
Hong Kong
ISSN :
1051-4651
Print_ISBN :
0-7695-2521-0
Type :
conf
DOI :
10.1109/ICPR.2006.965
Filename :
1699461
Link To Document :
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