Title | ||
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An Improved Vehicle Logo Recognition Using a Classifier Ensemble Based on Pattern Tensor Representation and Decomposition. |
Abstract | ||
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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. |
Year | DOI | Venue |
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2015 | https://doi.org/10.1007/s00354-015-0403-3 | New Generation Comput. |
Keywords | Field | DocType |
Vehicle Logo Recognition,Tensor Subspace Classification,Extended Structural Tensor,Higher Order Singular Value Decomposition | Subspace topology,Pattern recognition,Tensor,Computer science,Logo,Feature extraction,Artificial intelligence,Higher-order singular value decomposition,Multilinear subspace learning,Logo recognition,Classifier (linguistics) | Journal |
Volume | Issue | ISSN |
33 | 4 | 0288-3635 |
Citations | PageRank | References |
2 | 0.40 | 14 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Boguslaw Cyganek | 1 | 145 | 24.53 |
Michal Wozniak | 2 | 764 | 83.90 |