A robust traffic sign recognition system

Download

index.pdf

Date

2011

Author

Becer, Hüseyin Caner

Metadata

Show full item record

Item Usage Stats

145
views

64
downloads

The traffic sign detection and recognition system is an essential part of the driver warning and assistance systems. In this thesis, traffic sign recognition system is studied. We considered circular, triangular and square Turkish traffic signs. For detection stage, we have two different approaches. In first approach, we assume that the detected signs are available. In the second approach, the region of interest of the traffic sign image is given. Traffic sign is extracted from ROI by using a detection algorithm. In recognition stage, the ring-partitioned method is implemented. In this method, the traffic sign is divided into rings and the normalized fuzzy histogram is used as an image descriptor. The histograms of these rings are compared with the reference histograms. Ring-partitions provide robustness to rotation because the rotation does not change the histogram of the ring. This is very critical for circle signs because rotation is hard to detect in circle signs. To overcome illumination problem, specified gray scale image is used. To apply this method to triangle and square signs, the circumscribed circle of these shapes is extracted. Ring partitioned method is tested for the case where the detected signs are available and the region of interests of the traffic sign is given. The data sets contain about 500 static and video captured images and the images in the data set are taken in daytime.

Subject Keywords

Driver assistance systems

URI

http://etd.lib.metu.edu.tr/upload/12612912/index.pdf
https://hdl.handle.net/11511/20362

Collections

Graduate School of Natural and Applied Sciences, Thesis

Suggestions

OpenMETU
Core

A video tracker system for traffic monitoring and analysis Ocaklı, Mehmet; Demirekler, Mübeccel; Department of Electrical and Electronics Engineering (2007) In this study, a video tracker system for traffic monitoring and analysis is developed. This system is able to detect and track vehicles as they move through the camera’s field of view. This provides to perform traffic analysis about the scene, which can be used to optimize traffic flows and identify potential accidents. The scene inspected in this study is assumed stationary to achieve high performance solution to the problem. This assumption provides to detect moving objects more accurately, as well as ab...
A constraint based real-time license plate recognition system Günaydın, Ali Gökay; Yazıcı, Adnan; Department of Computer Engineering (2007) License Plate Recognition (LPR) systems are frequently utilized in various access controls and security applications. In this thesis, an experimental constraint based real-time License Plate Recognition system is designed, and implemented in Java platform. Many of the available constraint based methods worked under strict restrictions such as plate color, fixed illumination and designated routes, whereas, only the license plate geometry and format constraints are used in this developed system. These constra...
A Generic and extendable system architecture for intelligent transportation systems / Çetinkaya, Kaan; Schmidt, Şenan Ece; Department of Electrical and Electronics Engineering (2015) Intelligent Transportation Systems (ITS) are distributed systems with different communicating parties which are vehicles with ITS-supporting On Board Units (OBUs), Road Side Units (RSU) and user mobile devices. These parties collectively run application services that are developed and managed by different application service providers by communicating among each other under certain timing constraints. In the current state of art, hardware, software and communications that are required to implement a given I...
A Multimodal Approach for Aggressive Driving Detection Kumtepe, Omurcan; Yuncu, Enes; Akar, Gözde (2016-05-19) Aggressive driving behavior is among the important causes of traffic accidents. Hence, detection of driver aggressiveness has an importance in terms of decreasing the number of traffic accidents. Collected driving data while the vehicle is in traffic can be used to make inferences about the aggressiveness of the driver. In this study, a multimodal method is proposed in order to detect driver aggressiveness. The proposed method is based on utilizing the visual data taken from the on vehicle camera and sensor...
An algorithm for multiscale license plate detection and rule-based character segmentation Karalı, Ali Onur; Ulusoy, İlkay; Department of Electrical and Electronics Engineering (2011) License plate recognition (LPR) technology has great importance for the development of Intelligent Transportation Systems by automatically identifying the vehicles using image processing and pattern recognition techniques. Conventional LPR systems consist of license plate detection (LPD), character segmentation (CS) and character recognition (CR) steps. Successful detection of license plate and character locations have vital role for proper LPR. Most LPD and CS techniques in the literature assume fixed dist...

Citation Formats

H. C. Becer, “A robust traffic sign recognition system,” M.S. - Master of Science, Middle East Technical University, 2011.