Detection of vehicle manufacture logos using contextual information

Authors:
Wenting Lu;Honggang Zhang;Kunyan Lan;Jun Guo
Affiliations:
Pattern Recognition and Intelligent System Lab, Beijing University of Posts and Telecommunications, Beijing, China;Pattern Recognition and Intelligent System Lab, Beijing University of Posts and Telecommunications, Beijing, China;Pattern Recognition and Intelligent System Lab, Beijing University of Posts and Telecommunications, Beijing, China;Pattern Recognition and Intelligent System Lab, Beijing University of Posts and Telecommunications, Beijing, China
Venue:
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part II
Year:
2009

Citing 8
Cited 1

Applying algebraic and differential invariants for logo recognition

Machine Vision and Applications
Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns

IEEE Transactions on Pattern Analysis and Machine Intelligence
Object Recognition from Local Scale-Invariant Features

ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Distinctive Image Features from Scale-Invariant Keypoints

International Journal of Computer Vision
On-line Boosting and Vision

CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
A Hybrid License Plate Extraction Method for Complex Scenes

ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 02
An Efficient Features - Based License Plate Localization Method

ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 02
Low-Resolution Chinese Character Recognition of Vehicle License Plate Based on ALBP and Gabor Filters

ICAPR '09 Proceedings of the 2009 Seventh International Conference on Advances in Pattern Recognition

Rapid vehicle logo region detection based on information theory

Computers and Electrical Engineering

Quantified Score

Hi-index	0.00

Visualization

Abstract

Besides the decorative purposes, vehicle manufacture logos can provide rich information for vehicle verification and classification in many applications such as security and information retrieval. Detection and recognition of vehicle manufacture logos are, however, very challenging because they might lack of discriminative features themselves. In this paper, we propose a method to detect vehicle manufacture logos using contextual information, i.e., the information of surrounding objects near vehicle manufacture logos such as license plates, headlights, and grilles. The experimental results demonstrate that the proposed method is more effective and robust than other methods.