Driving Supportive System for Warning Traffic Sign Classification
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2014, Vol 16, Issue 4
Abstract
Abstract: Traffic signs should be accurately identified in order to prevent vital road accidents and secure lives. The objective of this paper is to detect the warning traffic signs and recognize the message it is designed to convey. This system is based on extracting the warning sign from the traffic scene by Windowed Hough Transform. Next Histogram Oriented Gradient (HOG) is used to collect the feature of the extracted part of triangular object and finally SVM classifier is applied to train the HOG features. To summarize, the system first detects the warning traffic sign in the first place, specifies whether the detected sign is a warning sign, and then determines the meaning of the symbol inside it. The SVM classifier was trained with 200 images which were collected in different light conditions. To check the robustness of this system, it was tested against 327 images which contain 292 warning traffic sign and 35 other types of traffic signs. It was found that the accuracy of recognition was approximately 94% which indicates clearly the high robustness targeted by this system.
Authors and Affiliations
Moumita Roy Tora, , Rubel Biswas
Keywords
Related Articles
- EP ID EP162986
- DOI 10.9790/0661-16473544
- Views 101
- Downloads 0
Implementation and Comparison of a New Wormhole Detection Technique with Existing Techniques
Abstract: Mobile Ad hoc networks are increasingly popular these days as they function without major requirements of state of the art infrastructure and the fact that they can function without the need for a centr...
Nymble: Blocking Misbehaving Users In Anonymizing Networks
The advent of anonymizing networks assured that users could access internet services with complete privacy avoiding any possible hindrance. This arrangement where series of routers form a network, hide the ...
Prediction of Epileptic Seizure: A Review
Abstract: Epilepsy is a neurological disorder affecting about 50 million people worldwide. Many techniques have been developed for predicting the basic features of epileptic seizures. Techniques used to forecast seizures...
Performance Evaluation of Wlan by Varying Pcf, Dcf and Enhanced Dcf Slots To Improve Quality of Service
Researchers have proposed a number of co-ordination functions in literature for improving quality of service. Each one is based on different characteristics and properties. In this paper, we evaluate the perfor...
Secure Code Based Mostly Information Forwarding System in Cloud Storage
Cloud Computing may be a technology that treats the resources on the net as a combined entity, a cloud. This project addresses the matter of forwarding information to a different user by storage servers directly ben...