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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Bugaj, M., Cyganek, B.: GPU Based Computation of the Structural Tensor for Real-Time Figure Detection. In: Proceedings of the 20th International Conference on Computer Graphics, Visualization and Computer Vision (WSCG 2012), Czech Republic (2012)
Cyganek, B.: Object Detection and Recognition in Digital Images. Theory and Practice. Wiley (2013)
Cyganek, B., Siebert, J.P.: An Introduction to 3D Computer Vision Techniques and Algorithms. Wiley (2009)
Cyganek, B.: An Analysis of the Road Signs Classification Based on the Higher-Order Singular Value Decomposition of the Deformable Pattern Tensors. In: Blanc-Talon, J., Bone, D., Philips, W., Popescu, D., Scheunders, P. (eds.) ACIVS 2010, Part II. LNCS, vol. 6475, pp. 191–202. Springer, Heidelberg (2010)
Dai, S., Huang, H., Gao, Z.: Vehicle-logo recognition method based on Tchebichef moment invariants and SVM. In: Software Engineering, WCSE 2009, pp. 18–21 (2009)
Duda, R.O., Hart, P.E., Stork, D.G.: Pattern Classification. Wiley (2001)
Jahne, B.: Digital Image Processing. Springer (2005)
Kolda, T.G., Bader, B.W.: Tensor Decompositions and Applications. SIAM Review, 455–500 (2008)
de Lathauwer, L.: Signal Processing Based on Multilinear Algebra. PhD dissertation, Katholieke Universiteit Leuven (1997)
de Lathauwer, L., Moor de, B., Vandewalle, J.: A Multilinear Singular Value Decomposition. SIAM Journal of Matrix Analysis and Applications 21(4), 1253–1278 (2000)
Medialabdatabase (2013), http://www.medialab.ntua.gr/research/LPRdatabase.html
Petrovic, V.S., Cootes, T.F.: Analysis of features for rigid structure vehicle type recognition. In: Proc. BMVC (2004)
Psyllos, A.P., Anagnostopoulos, C.-N.E., Kayafas, E.: Vehicle logo recognition using a sift-based enhanced matching scheme. IEEE ITS 11(2), 322–328 (2010)
Savas, B., Eldén, L.: Handwritten digit classification using higher order singular value decomposition. Pattern Recognition 40, 993–1003 (2007)
Theodoridis, S., Koutroumbas, K.: Pattern Recognition, 4th edn. Academic Press (2009)
Turk, M., Pentland, A.: Eigenfaces for recognition. Journal of Cognitive Neuroscience 3(1), 71–86 (1991)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
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
Download citation
DOI: https://doi.org/10.1007/978-3-319-05458-2_13
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-05457-5
Online ISBN: 978-3-319-05458-2
eBook Packages: Computer ScienceComputer Science (R0)