Distance transformations in digital images
Computer Vision, Graphics, and Image Processing
Floating search methods in feature selection
Pattern Recognition Letters
Real-time classification of traffic signs
Real-Time Imaging
Road sign classification using Laplace kernel classifier
Pattern Recognition Letters - Selected papers from the 11th scandinavian conference on image analysis
Saliency, Scale and Image Description
International Journal of Computer Vision
Multi-Feature Hierarchical Template Matching Using Distance Transforms
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 1 - Volume 1
Robust Real-Time Face Detection
International Journal of Computer Vision
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 - Volume 01
Traffic sign recognition using discriminative local features
IDA'07 Proceedings of the 7th international conference on Intelligent data analysis
Visual sign information extraction and identification by deformable models for intelligent vehicles
IEEE Transactions on Intelligent Transportation Systems
Building Road-Sign Classifiers Using a Trainable Similarity Measure
IEEE Transactions on Intelligent Transportation Systems
Optimum design of chamfer distance transforms
IEEE Transactions on Image Processing
Intelligent data analysis: keeping pace with technological advances
IDA'11 Proceedings of the 10th international conference on Advances in intelligent data analysis X
Distance transform computation for digital distance functions
Theoretical Computer Science
Proceedings of the International Conference on Advances in Computing, Communications and Informatics
Neural network based smart vision system for driver assistance in extracting traffic signposts
Proceedings of the CUBE International Information Technology Conference
Color fused multiple features for traffic sign recognition
Proceedings of the 4th International Conference on Internet Multimedia Computing and Service
A unified framework for multimodal retrieval
Pattern Recognition
Real-time traffic sign recognition in three stages
Robotics and Autonomous Systems
Journal of Visual Communication and Image Representation
Traffic sign recognition using group sparse coding
Information Sciences: an International Journal
Exploiting temporal and spatial constraints in traffic sign detection from a moving vehicle
Machine Vision and Applications
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In this paper we address the problem of traffic sign recognition. Novel image representation and discriminative feature selection algorithms are utilised in a traditional three-stage framework involving detection, tracking and recognition. The detector captures instances of equiangular polygons in the scene which is first appropriately filtered to extract the relevant colour information and establish the regions of interest. The tracker predicts the position and the scale of the detected sign candidate over time to reduce computation. The classifier compares a discrete-colour image of the observed sign with the model images with respect to the class-specific sets of discriminative local regions. They are learned off-line from the idealised template sign images, in accordance with the principle of one-vs-all dissimilarity maximisation. This dissimilarity is defined based on the so-called Colour Distance Transform which enables robust discrete-colour image comparisons. It is shown that compared to the well-established feature selection techniques, such as Principal Component Analysis or AdaBoost, our approach offers a more adequate description of signs and involves effortless training. Upon this description we have managed to build an efficient road sign recognition system which, based on a conventional nearest neighbour classifier and a simple temporal integration scheme, demonstrates a competitive performance in the experiments involving real traffic video.