A Model of Saliency-Based Visual Attention for Rapid Scene Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Novel Approach for Vehicle-logo Location Based on Edge Detection and Morphological Filter
ISECS '09 Proceedings of the 2009 Second International Symposium on Electronic Commerce and Security - Volume 01
Vehicle logo recognition using a SIFT-based enhanced matching scheme
IEEE Transactions on Intelligent Transportation Systems
Detection of vehicle manufacture logos using contextual information
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part II
Automatic license plate recognition
IEEE Transactions on Intelligent Transportation Systems
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Vehicle logo detection is an important task in intelligent transportation systems. In this paper, a novel method is proposed for detecting the vehicle logo in an image. Our method consists of three main steps. First, horizontal and vertical direction filters are applied to the original image to produce two new images. Then, a saliency map is generated from each image. Second, two clusters in the corresponding saliency map are formed to create a binary image. Finally, the vehicle logo is localized by searching the regions with the maximum useful information. Our method has two main contributions. One is that the vehicle logo can be detected rapidly without learning. The other is that our method is adaptable to different situations without adjusting the parameters. A series of experiments are performed on 970 images, which are captured from different real-time situations. Experimental results show that our method is also very fast and can achieve a high detection rate, which is suitable for real-time applications.