JOURNAL ARTICLE

Traffic Sign Detection Using Template Matching Technique

Abstract

Advancement in safety features to prevent ignorance of traffic sign boards is a challenge faced by drivers in daily routine. By overlooking traffic road signs, one can lead to road accidents which can be of high-risk for the driver as well as the fellow passengers. Therefore, using Driver Assistance System to assist the driver with mandatory and cautionary road signs can be of important help in prevention of road accidents. The paper explains Template Matching technique of image processing for detecting Traffic signs mounted alongside the road. Here, the object of interest, i.e., traffic sign board, is selected and learned by the system which is then detected where the Region of Interest is in form of green-yellow bounding box. The system is alert about the reappearance of the object, that is, after the departure of the current frame. The output is given both in audio as well as in display message format. This combination of output enables the driver to stay alert while driving the vehicle and prevents any kind of mishap.

Keywords:
Traffic sign Computer science Template matching Sign (mathematics) Advanced driver assistance systems Matching (statistics) Computer vision Object detection Computer security Frame (networking) Artificial intelligence Transport engineering Engineering Telecommunications Image (mathematics) Segmentation

Metrics

11
Cited By
0.66
FWCI (Field Weighted Citation Impact)
14
Refs
0.76
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Vehicle License Plate Recognition
Physical Sciences →  Engineering →  Media Technology
Video Surveillance and Tracking Methods
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Hand Gesture Recognition Systems
Physical Sciences →  Computer Science →  Human-Computer Interaction

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