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18th International Conference on Pattern Recognition (ICPR'06) Volume 3
Real-time Object Recognition using Relational Dependency based on Graphical Model
Hong Kong
August 20-August 24
ISBN: 0-7695-2521-0
Woo-han Yun, Intelligent Robot Research Division, Korea
Sung Yang Bang, Pohang University of Science and Technology, Korea
Daijin Kim, Pohang University of Science and Technology, Korea
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.
Citation:
Woo-han Yun, Sung Yang Bang, Daijin Kim, "Real-time Object Recognition using Relational Dependency based on Graphical Model," icpr, vol. 3, pp.28-32, 18th International Conference on Pattern Recognition (ICPR'06) Volume 3, 2006
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