Abstract
The paper presents a system for vehicle logo recognition from real digital images. The process starts with license plates localization, followed by vehicle logo detection. For this purpose the structural tensor is employed which allows fast and reliable detections even in low quality images. Detected logo areas are classified to the car brands with help of the classifier operating in the multi-dimensional tensor spaces. These are obtained after the Higher-Order Singular Value Decomposition of the prototype logo tensors. The proposed method shows high accuracy and fast operation, as verified by the experiments.
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Cyganek, B., Woźniak, M. (2014). Vehicle Logo Recognition with an Ensemble of Classifiers. In: Nguyen, N.T., Attachoo, B., Trawiński, B., Somboonviwat, K. (eds) Intelligent Information and Database Systems. ACIIDS 2014. Lecture Notes in Computer Science(), vol 8398. Springer, Cham. https://doi.org/10.1007/978-3-319-05458-2_13
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DOI: https://doi.org/10.1007/978-3-319-05458-2_13
Publisher Name: Springer, Cham
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