Maintenance Training of Electric Power Facilities Using Object Recognition by SVM

Authors:
Chikahito Nakajima;Massimiliano Pontil
Affiliations:
-;-
Venue:
SVM '02 Proceedings of the First International Workshop on Pattern Recognition with Support Vector Machines
Year:
2002

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Abstract

We are developing a support system for maintenance training of electric power facilities using augmented reality. To develop in the system, we evaluated the use of Support VectorMachine Classifier (SVM) for object recognition. This paper presents our experimental results of object recognition by combinations of SVMs. The recognition results of over 10,000 images show very high performance rates. The support system that uses the combinations of SVMs works in real time without special marks or sensors.