Improved Matching Accuracy in Traffic Sign Recognition by Using Different Feature Subspaces

نویسندگان

  • Arihito Ihara
  • Hironobu Fujiyoshi
  • Masanari Takagi
  • Hiroaki Kumon
چکیده

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Real-Time Recognition System For Traffic Signs

The aim of this thesis project is to develop the Traffic Sign Recognition algorithm for real time. In real time environment, vehicles move at high speed on roads. For the vehicle intelligent system it becomes essential to detect, process and recognize the traffic sign which is coming in front of vehicle with high relative velocity, at the right time, so that the driver would be able to pro-act ...

متن کامل

Detection and Recognition of Multi-language Traffic Sign Context by Intelligent Driver Assistance Systems

Design of a new intelligent driver assistance system based on traffic sign detection with Persian context is concerned in this paper. The primary aim of this system is to increase the precision of drivers in choosing their path with regard to traffic signs. To achieve this goal, a new framework that implements fuzzy logic was used to detect traffic signs in videos captured along a highway f...

متن کامل

Traffic Sign Recognition Algorithm Based on Multi- Modal Representation and Multi-Object Tracking

An algorithm for traffic sign recognition and tracking is proposed in this paper. Image segmentation based on color space conversion and shape classification based on signature feature are used to detect traffic signs in complex urban scenes. To improve recognition accuracy, a two-modal representation method is presented to classify the detected candidate regions for traffic sign. One modal uti...

متن کامل

Evaluation of the Parameters Involved in the Iris Recognition System

Biometric recognition is an automatic identification method which is based on unique features or characteristics possessed by human beings and Iris recognition has proved itself as one of the most reliable biometric methods available owing to the accuracy provided by its unique epigenetic patterns. The main steps in any iris recognition system are image acquisition, iris segmentation, iris norm...

متن کامل

Hardware/Software Co-Design of a Traffic Sign Recognition System Using Zynq FPGAs

Traffic sign recognition (TSR), taken as an important component of an intelligent vehicle system, has been an emerging research topic in recent years. In this paper, a traffic sign detection system based on color segmentation, speeded-up robust features (SURF) detection and the k-nearest neighbor classifier is introduced. The proposed system benefits from the SURF detection algorithm, which ach...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2009