Shape Matching and Color Segmentation Based Traffic Sign Detection System

2015 ◽  
Vol 1 (1) ◽  
pp. 38-42 ◽  
Author(s):  
Safat Wali
Keyword(s):  
Shape Matching ◽  
Detection System ◽  
Color Segmentation ◽  
Traffic Sign ◽  
Sign Detection ◽  
Traffic Sign Detection

scholarly journals Traffic Sign Detection System for Locating Road Intersections and Roundabouts: The Chilean Case

Sensors ◽  
2017 ◽  
Vol 17 (6) ◽  
pp. 1207 ◽  
Author(s):  
Gabriel Villalón-Sepúlveda ◽  
Miguel Torres-Torriti ◽  
Marco Flores-Calero
Keyword(s):  
Detection System ◽  
Traffic Sign ◽  
Sign Detection ◽  
Road Intersections ◽  
Traffic Sign Detection

scholarly journals REAL OBJECT DETECTION SYSTEM FOR IRAQ TRAFFIC SIGNS BASED ON MASK R-CNN

2021 ◽  
Vol 4 (3) ◽  
pp. 12-22
Author(s):  
Ammar A. Aggar ◽  
Mohammed J. Zaiter ◽  
Abdalrazak T. Raheem
Keyword(s):  
Object Detection ◽  
Detection System ◽  
Traffic Sign ◽  
Traffic Signs ◽  
Timely Response ◽  
Sign Detection ◽  
Weak Light ◽  
Real Video ◽  
Important Object ◽  
Traffic Sign Detection

Traffic signs object detection has gained great interest in recent years, as one of the most important object detector applications. Traffic signs detection is based on deep learning, which gives it the benefit of high detection precision and timely response to condition changes of the traffic. Therefore, this paper shows an efficient method for detecting traffic signs in real-time. Hence, it implements a new Iraqi Traffic Sign Detection Benchmark (IQTSDB) dataset based on Mask Region-based Convolutional Neural Network (Mask R-CNN). The results show that the implementation of IQTSDB dataset with Mask R-CNN has a great efficiency in different conditions such as sunny, cloudy, weak light, and rainy conditions. In addition, the real video captured for traffic signs in Baghdad has been taken and compared to the German Traffic Signs Detection Benchmark (GTSDB) dataset. The IQTSDB dataset has a better performance than GTSDB dataset based on the performance parameters training loss and mean Average Precision (mAP).

scholarly journals Traffic Sign Detection based on Color Segmentation of Obscure Image Candidates: A Comprehensive Study

2018 ◽  
Vol 10 (6) ◽  
pp. 35-46 ◽  
Author(s):  
Dip Nandi ◽  
◽  
A.F.M. Saifuddin Saif ◽  
Prottoy Paul ◽  
Kazi Md. Zubair ◽  
...  
Keyword(s):  
Color Segmentation ◽  
Traffic Sign ◽  
Sign Detection ◽  
Traffic Sign Detection ◽  
Comprehensive Study

scholarly journals A Access Traffic Sign Detection Tracking and Recognition System for Video Frames using KNN Algorithms

2019 ◽  
Vol 8 (11S) ◽  
pp. 56-61
Keyword(s):  
Autonomous Vehicles ◽  
Recognition System ◽  
Color Segmentation ◽  
Physical Sign ◽  
Traffic Sign ◽  
Sign Recognition ◽  
Video Frames ◽  
Sign Detection ◽  
Traffic Sign Detection ◽  
Tracking And Recognition

Video-based traffic sign detectiontracking and recognition plays an important role in driving support system as well as in intelligent autonomous vehicles. This framework includes three parts like traffic sign detecting, target tracking and sign recognition. This paper contributes different methods for detecting and recognizing of traffic sign, so that drivers can be easily identify the type of signal in road sides. In this approach different methods like color segmentation and scale based intraframe fusion technics is proposed which includes the spatial-temperol constraints in videos, by fusing the different casings that have a place with an equivalent physical sign along to induce higher exactness.

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