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New Generation Computing

, Volume 33, Issue 4, pp 389–408 | Cite as

An Improved Vehicle Logo Recognition Using a Classifier Ensemble Based on Pattern Tensor Representation and Decomposition

  • Bogusław CyganekEmail author
  • Michał Woźniak
Article

Abstract

The paper presents a vehicle logo recognition system based on novel combination of tensor based feature extraction and ensemble of tensor subspace classifiers. Each originally two-dimensional vehicle logotype is transformed to a three-dimensional feature tensor applying the extended structural tensor method. All such exemplary logo-tensors which correspond to a single class are stacked to form a 4D logo-class-tensor. Decomposing each 4D logo-class-tensor into the orthogonal tensor subspace allows classification of unknown logotypes. The proposed system allows reliable vehicle logo recognition in real conditions as shown by experiments.

Keywords

Vehicle Logo Recognition Tensor Subspace Classification Extended Structural Tensor Higher Order Singular Value Decomposition 

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Copyright information

© Ohmsha and Springer Japan 2015

Authors and Affiliations

  1. 1.AGH University of Science and TechnologyKrakówPoland
  2. 2.Wrocław University of TechnologyWrocławPoland

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