An Analysis of the Road Signs Classification Based on the Higher-Order Singular Value Decomposition of the Deformable Pattern Tensors - Advanced Concepts for Intelligent Vision Systems - page 200

well as to the slight variations in color, lighting conditions and occlusions which do
not obscure the pictogram. The most troublesome are situations in which an object
provided by the detector does not belong to any of the patterns used during training.
To cope with such outliers a match threshold was set based on experiments. The
obtained accuracy on the group of prohibition signs reached 95% at speed of 15-25
frames/s of resolution 640 480. Additionally, we provide software for efficient

representation and manipulations of tensors, as well as for their decomposition.

×

Acknowledgement

This work was supported from the Polish funds for scientific research in 2010.

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