Vehicle logo recognition using a SIFT-based enhanced matching scheme

Authors:
Apostolos P. Psyllos;Christos-Nikolaos E. Anagnostopoulos;Eleftherios Kayafas
Affiliations:
Department of Electrical and Computer Engineering, National Technical University of Athens, Athens, Greece;Department of Cultural Technology and Communication, University of the Aegean, Mytilene, Greece;Department of Electrical and Computer Engineering, National Technical University of Athens, Athens, Greece
Venue:
IEEE Transactions on Intelligent Transportation Systems
Year:
2010

Citing 15
Cited 2

Object recognition by computer: the role of geometric constraints

Object recognition by computer: the role of geometric constraints
Approximate nearest neighbor queries in fixed dimensions

SODA '93 Proceedings of the fourth annual ACM-SIAM Symposium on Discrete algorithms
An Algorithm for Finding Best Matches in Logarithmic Expected Time

ACM Transactions on Mathematical Software (TOMS)
Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography

Communications of the ACM
An Affine Invariant Interest Point Detector

ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
Invariant Features for Gray Scale Images

Mustererkennung 1995, 17. DAGM-Symposium
Object Recognition from Local Scale-Invariant Features

ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
PCA-SIFT: a more distinctive representation for local image descriptors

CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Neural network approach to identify model of vehicles

ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part III
A boundary-fragment-model for object detection

ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part II
Vehicle-type identification through automated virtual loop assignment and block-based direction-biased motion estimation

IEEE Transactions on Intelligent Transportation Systems
Detection and classification of vehicles

IEEE Transactions on Intelligent Transportation Systems
Preceding vehicle recognition based on learning from sample images

IEEE Transactions on Intelligent Transportation Systems
Automatic traffic surveillance system for vehicle tracking and classification

IEEE Transactions on Intelligent Transportation Systems
A License Plate-Recognition Algorithm for Intelligent Transportation System Applications

IEEE Transactions on Intelligent Transportation Systems

Rapid vehicle logo region detection based on information theory

Computers and Electrical Engineering
An integrative approach to accurate vehicle logo detection

Journal of Electrical and Computer Engineering

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, a new algorithm for vehicle logo recognition on the basis of an enhanced scale-invariant feature transform (SIFT)-based feature-matching scheme is proposed. This algorithm is assessed on a set of 1200 logo images that belong to ten distinctive vehicle manufacturers. A series of experiments are conducted, splitting the 1200 images to a training set and a testing set, respectively. It is shown that the enhanced matching approach proposed in this paper boosts the recognition accuracy compared with the standard SIFT-based feature-matching method. The reported results indicate a high recognition rate in vehicle logos and a fast processing time, making it suitable for real-time applications.